Job Summary:We seek an experienced SAS Fraud Management Engineer to design, develop, and implement solutions using the SAS Fraud Management suite, SAS Visual Analytics (VA), and SAS Visual Investigator (VI). The role involves configuring fraud rules, workflows, and UI, integrating various SAS components, and enhancing fraud detection capabilities. You will play a critical role in production rollouts, troubleshooting, and collaborating with stakeholders to ensure seamless project delivery. This position requires hands-on experience with fraud management solutions for Tier 1 and Tier 2 banks, along with expertise in SAS programming and cloud-based deployments.Key Responsibilities:Develop, configure, and optimize SAS Fraud Management, including rule coding, workflow design, and UI configurations.Implement and troubleshoot SAS FM, VA, and VI solutions, ensuring smooth integration and communication between components.Configure and enhance the Online Decision Engine for real-time transaction processing, alerts, and customer profiling.Build and maintain batch transaction integrations, demographic data handling, blacklist management, and reporting capabilities.Manage hosting, deployment, and configuration of solutions on cloud platforms.Conduct performance troubleshooting for SAS SFM and Viya environments.Lead solution assessments, develop best practices, and align models with business-specific requirements.Collaborate with stakeholders to plan projects, estimate efforts, and deliver enhancements.Configure and manage case workflows, whitelist creation, link analysis, and job configurations.Qualifications & skills:Graduate engineering degree or equivalent.10+ years of experience as a SAS SFM SME, with recent hands-on experience within the last 2 years.5+ years as a Build Engineer working with SAS Fraud Risk Solutions.Proven expertise in SAS Fraud Management implementations across multiple regions.Strong analytical and problem-solving skills.Excellent communication skills with the ability to work independently and in teams.Ability to handle complex fraud systems and deliver solutions within tight deadlines.Technical Skills:Proficiency in SAS programming, SAS FM APIs, SAS BOSS integration, and Oracle PL/SQL.Hands-on experience with SAS Visual Analytics (VA) and SAS Visual Investigator (VI), including configuration and integration with data sources.Expertise in cloud hosting, Linux, shell scripting, and performance troubleshooting.Knowledge of fraud detection techniques, including real-time and batch processing systems.Location- Remote,Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

We are looking for an experienced IT Project Manager to lead and manage technology projects in the public sector and taxation domain. This role requires a strategic leader who can oversee end-to-end project execution, manage multiple stakeholders, and ensure successful project delivery within scope, timeline, and budget.Key Responsibilities:Project Management:Lead and manage full project lifecyclesfrom planning and execution to monitoring and delivery.Define project scope, timelines, and resource allocation, ensuring alignment with business goals.Implement best practices in project management (Agile, Waterfall, or hybrid methodologies) to ensure efficiency.Monitor project risks, dependencies, and roadblocks, ensuring proactive resolution.Stakeholder & Communication Management:Serve as the primary liaison between technical teams and business stakeholders.Provide leadership and key decision-makers with clear project updates, risk assessments, and technical insights.Work closely with government agencies, taxation authorities, and external partners to drive project success.Governance & Compliance:Ensure adherence to public sector regulations, compliance policies, and taxation frameworks.Manage government tendering processes, contract negotiations, and regulatory documentation.Budget & Resource Optimization:Oversee project budgets, cost control, and resource planning to maximize efficiency.Identify opportunities for process improvements and cost optimizations.Team Leadership:Lead cross-functional teams, assign tasks, and foster a collaborative work culture.Provide guidance, mentorship, and performance feedback to ensure project excellence.Qualifications & Skills:8 to 10 years of experience in IT project management.MBA with a strong understanding of IT strategy and business alignment.Proven experience managing public sector IT projects or taxation-related systems.Strong knowledge of project management methodologies (Agile, Waterfall, PMP, PRINCE2, etc.).Excellent communication, stakeholder management, and leadership skills.Proficiency in project management tools (JIRA, MS Project, or similar).Experience in government IT consulting or taxation technology solutions.PMP, PRINCE2, or ITIL certification is a plus.

Responsibilities:Design and develop interactive reports and dashboards using SAS Visual Analytics.Work closely with business stakeholders to understand their reporting requirements and translate them into actionable insights.Analyze complex datasets and identify trends, patterns, and anomalies to drive business outcomes.Optimize data visualization techniques to effectively communicate key metrics and performance indicators.Collaborate with cross-functional teams, including data engineers, analysts, and business users, to deliver high-quality BI solutions.Ensure data accuracy, consistency, and integrity in all reporting deliverables.Provide technical guidance and support to junior team members and end users as needed.Stay abreast of industry trends and best practices in data visualization and analytics.Qualifications:Bachelor's degree in B.E/ B.Tech/ MCA/ MBA .Proven 3 to 5 years experience as a SAS Visual Analytics Developer or similar role.Strong proficiency in SAS Visual Analytics tools, including SAS Visual Analytics Designer and SAS Visual Analytics Explorer.Proficiency in SAS programming languages, such as SAS Base and SAS Macro.Experience working with relational databases and SQL queries.Excellent analytical and problem-solving skills, with a keen attention to detail.Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.Ability to work independently and manage multiple priorities in a fast-paced environment.SAS Visual Analytics certification preferred.Location:Remote

Job Summary:We seek an experienced SAS Fraud Management Engineer to design, develop, and implement solutions using the SAS Fraud Management suite, SAS Visual Analytics (VA), and SAS Visual Investigator (VI). The role involves configuring fraud rules, workflows, and UI, integrating various SAS components, and enhancing fraud detection capabilities. You will play a critical role in production rollouts, troubleshooting, and collaborating with stakeholders to ensure seamless project delivery. This position requires hands-on experience with fraud management solutions for Tier 1 and Tier 2 banks, along with expertise in SAS programming and cloud-based deployments.Key Responsibilities:Develop, configure, and optimize SAS Fraud Management, including rule coding, workflow design, and UI configurations.Implement and troubleshoot SAS FM, VA, and VI solutions, ensuring smooth integration and communication between components.Configure and enhance the Online Decision Engine for real-time transaction processing, alerts, and customer profiling.Build and maintain batch transaction integrations, demographic data handling, blacklist management, and reporting capabilities.Manage hosting, deployment, and configuration of solutions on cloud platforms.Conduct performance troubleshooting for SAS SFM and Viya environments.Lead solution assessments, develop best practices, and align models with business-specific requirements.Collaborate with stakeholders to plan projects, estimate efforts, and deliver enhancements.Configure and manage case workflows, whitelist creation, link analysis, and job configurations.Qualifications & skills:Graduate engineering degree or equivalent.10+ years of experience as a SAS SFM SME, with recent hands-on experience within the last 2 years.5+ years as a Build Engineer working with SAS Fraud Risk Solutions.Proven expertise in SAS Fraud Management implementations across multiple regions.Strong analytical and problem-solving skills.Excellent communication skills with the ability to work independently and in teams.Ability to handle complex fraud systems and deliver solutions within tight deadlines.Technical Skills:Proficiency in SAS programming, SAS FM APIs, SAS BOSS integration, and Oracle PL/SQL.Hands-on experience with SAS Visual Analytics (VA) and SAS Visual Investigator (VI), including configuration and integration with data sources.Expertise in cloud hosting, Linux, shell scripting, and performance troubleshooting.Knowledge of fraud detection techniques, including real-time and batch processing systems.Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Responsibilities:We are seeking a skilled SAS VI Developer to join our team. The ideal candidate will have a deep understanding of SAS Visual Investigator and its applications in fraud detection, risk management, and compliance.Key Responsibilities:Provide expertise in the implementation and configuration of SAS Visual Investigator for fraud detection and prevention, risk management, and compliance initiatives.Collaborate with clients to understand their business requirements and translate them into effective solutions using SAS Visual Investigator.Design and develop analytical models, rules, and alerts to identify anomalies, patterns, and suspicious activities.Configure dashboards and reports in SAS Visual Investigator to provide actionable insights to stakeholders.Conduct training sessions and workshops to educate clients on the use of SAS Visual Investigator and best practices in fraud detection and risk management.Work closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure successful project delivery.Provide ongoing support and maintenance for SAS Visual Investigator implementations, including troubleshooting issues and optimizing performance.Requirements:Bachelor's degree in Computer Science, Information Technology, or related field.Minimum of 5 years of experience in implementing and configuring SAS Visual Investigator.Strong understanding of fraud detection, risk management, and compliance principles and methodologies.Proficiency in SAS programming and experience with SAS Visual Analytics is preferred.Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders.Strong analytical and problem-solving abilities, with a keen attention to detail.Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities:We are seeking a skilled SAS VI Developer to join our team. The ideal candidate will have a deep understanding of SAS Visual Investigator and its applications in fraud detection, risk management, and compliance.Key Responsibilities:Provide expertise in the implementation and configuration of SAS Visual Investigator for fraud detection and prevention, risk management, and compliance initiatives.Collaborate with clients to understand their business requirements and translate them into effective solutions using SAS Visual Investigator.Design and develop analytical models, rules, and alerts to identify anomalies, patterns, and suspicious activities.Configure dashboards and reports in SAS Visual Investigator to provide actionable insights to stakeholders.Conduct training sessions and workshops to educate clients on the use of SAS Visual Investigator and best practices in fraud detection and risk management.Work closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure successful project delivery.Provide ongoing support and maintenance for SAS Visual Investigator implementations, including troubleshooting issues and optimizing performance.Requirements:Bachelor's degree in Computer Science, Information Technology, or related field.Minimum of 5 years of experience in implementing and configuring SAS Visual Investigator.Strong understanding of fraud detection, risk management, and compliance principles and methodologies.Proficiency in SAS programming and experience with SAS Visual Analytics is preferred.Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders.Strong analytical and problem-solving abilities, with a keen attention to detail.Ability to work independently and collaboratively in a fast-paced environment.

Design and develop interactive reports and dashboards using SAS Visual Analytics.Work closely with business stakeholders to understand their reporting requirements and translate them into actionable insights.Analyze complex datasets and identify trends, patterns, and anomalies to drive business outcomes.Optimize data visualization techniques to effectively communicate key metrics and performance indicators.Collaborate with cross-functional teams, including data engineers, analysts, and business users, to deliver high-quality BI solutions.Ensure data accuracy, consistency, and integrity in all reporting deliverables.Provide technical guidance and support to junior team members and end users as needed.Stay abreast of industry trends and best practices in data visualization and analytics.Qualifications:Bachelor's degree in B.E/ B.Tech/ MCA/ MBA .Proven 3 to 5 years experience as a SAS Visual Analytics Developer or similar role.Strong proficiency in SAS Visual Analytics tools, including SAS Visual Analytics Designer and SAS Visual Analytics Explorer.Proficiency in SAS programming languages, such as SAS Base and SAS Macro.Experience working with relational databases and SQL queries.Excellent analytical and problem-solving skills, with a keen attention to detail.Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.Ability to work independently and manage multiple priorities in a fast-paced environment.SAS Visual Analytics certification preferred.

Job Summary:We are seeking a highly motivated and experienced SAS Governance and Compliance Consultant to join our team. In this role, you will be responsible for ensuring the effective implementation and ongoing management of our SAS environment using SAS Governance and Compliance (SAS GRC). You will play a key role in mitigating risks, maintaining compliance with regulations, and promoting best practices for data governance.Responsibilities:Develop and implement data governance policies and procedures to ensure data quality, integrity, and security.Create and enforce guidelines for data management and compliance with regulatory requirements.Monitor and ensure adherence to compliance standards, including GDPR other relevant regulations.Conduct regular audits and assessments to identify and mitigate compliance risks.Oversee data management practices to ensure data accuracy and reliability.Implement and maintain data security measures, including access controls and encryption.Collaborate with business and IT teams to align governance and compliance practices with organizational goals.Communicate effectively with stakeholders regarding governance policies, compliance status, and related issues.Provide training and support to users on data governance framework and compliance best practices.Develop and maintain documentation for governance and compliance procedures.Generate and review compliance and governance reports for internal and external stakeholders.Maintain detailed records of compliance activities, audits, and risk assessments.Qualifications:Graduation & above Minimum 2-4 years of experience Proven experience in implementing and using SAS Governance and Compliance. Strong understanding of data security principles and best practices.Excellent analytical and problem-solving skills.Effective communication and interpersonal skills.Ability to work independently and as part of a team.

Roles and ResponsibilitiesDevelop ETL jobs and integrate SAS Data Quality platform to ensure data accuracy and completeness.Design and implement various transformations in SAS DI Studio to extract, transform, and load data.Perform data validation, quality checks, and error handling tasks to maintain high data integrity.Implement Type I and Type II handling in ETL processes to manage data history and updates efficiently.Extract and load data from various databases, including Oracle, MySQL, and Teradata.Optimize ETL/ELT jobs for performance and efficiency, ensuring they meet the defined service level agreements (SLAs).Utilize SAS programming, including Macros and Enterprise Guide, to develop and maintain data management solutions.Schedule jobs using LSF and Cron-tab for efficient task execution and resource management.Work with SAS BI platform and UNIX operating systems to support data management and reporting needs.Collaborate with cross-functional teams to gather requirements and implement solutions that meet business objectives.Travel within India and abroad for project implementations as required.Qualifications and RequirementsB.E/ BTech/ MTech/ MCA/MBA.3-8 years of experience in SAS programming and SAS Data Integration Server.Strong understanding of ETL concepts and experience in developing ETL jobs.Hands-on experience with data validation, data quality, and error handling techniques.Proficiency in working with various databases and extracting data using SQL queries.Experience in performance tuning and optimization of ETL/ELT jobs.Knowledge of SAS programming, including Macros and Enterprise Guide.Familiarity with scheduling tools such as LSF and Cron-tab.Exposure to SAS BI platform and UNIX operating systems is a plus.Willingness to travel for project implementations within India and internationally.Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.

Job Responsibilities:Install, configure, and maintain Informatica environments, including PowerCenter (PC), Data Quality (IDQ), and Master Data Management (MDM).Manage Informatica platform upgrades, patches, and performance tuning to ensure optimal system performance.Administer user access, roles, and security policies within Informatica applications.Monitor, troubleshoot, and resolve issues related to Informatica workflows, jobs, and integrations.Work closely with development and data teams to optimize ETL processes and improve data quality.Perform capacity planning, backup, and recovery strategies for Informatica environments.Automate administrative tasks and enhance operational efficiency using scripts and scheduling tools.Collaborate with business teams to support data integration and governance initiatives.Required Skills & Qualifications:2-5 years of hands-on experience in Informatica Administration with expertise in PowerCenter (PC), Data Quality (IDQ), and MDM.Strong knowledge of Informatica repository management, services configuration, and metadata management.Experience in installation, upgrades, and troubleshooting of Informatica tools.Familiarity with Linux/Unix environments, shell scripting, and database connectivity (Oracle, SQL Server, etc.).Understanding of performance tuning, job scheduling (Autosys, Control-M), and security configurations.Strong analytical, troubleshooting, and problem-solving skills.Excellent communication and stakeholder management abilities.Preferred Skills:Experience with cloud-based Informatica solutions (IICS, Informatica on AWS/Azure/GCP).Knowledge of data governance, master data management, and enterprise data integration concepts.Exposure to Big Data and data lake integration using Informatica.

Roles and ResponsibilitiesDevelop ETL jobs and integrate SAS Data Quality platform to ensure data accuracy and completeness.Design and implement various transformations in SAS DI Studio to extract, transform, and load data.Perform data validation, quality checks, and ror-handling tasks to maintain high data integrity.Implement Type I and Type II handling in ETL processes to manage data history and updates efficiently.Extract and load data from various databases, including Oracle, MySQL, and Teradata.Optimize ETL/ELT jobs for performance and efficiency, ensuring they meet the defined service level agreements (SLAs).Utilize SAS programming, including Macros and Enterprise Guide, to develop and maintain data management solutions.Schedule jobs using LSF and Cron-tab for efficient task execution and resource management.Work with SAS BI platform and UNIX operating systems to support data management and reporting needs.Collaborate with cross-functional teams to gather requirements and implement solutions that meet business objectives.Travel within India and abroad for project implementations as required.Qualifications and RequirementsB.E/ BTech/ MTech/ MCA/MBA.3-8 years of experience in SAS programming and SAS Data Integration Server.Strong understanding of ETL concepts and experience in developing ETL jobs.Hands-on experience with data validation, data quality, and error handling techniques.Proficiency in working with various databases and extracting data using SQL queries.Experience in performance tuning and optimization of ETL/ELT jobs.Knowledge of SAS programming, including Macros and Enterprise Guide.Familiarity with scheduling tools such as LSF and Cron-tab.Exposure to SAS BI platform and UNIX operating systems is a plus.Willingness to travel for project implementations within India and internationally.Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.

Job Summary:We seek an experienced SAS Fraud Management Engineer to design, develop, and implement solutions using the SAS Fraud Management suite, SAS Visual Analytics (VA), and SAS Visual Investigator (VI). The role involves configuring fraud rules, workflows, and UI, integrating various SAS components, and enhancing fraud detection capabilities. You will play a critical role in production rollouts, troubleshooting, and collaborating with stakeholders to ensure seamless project delivery. This position requires hands-on experience with fraud management solutions for Tier 1 and Tier 2 banks, along with expertise in SAS programming and cloud-based deployments.Key Responsibilities:Develop, configure, and optimize SAS Fraud Management, including rule coding, workflow design, and UI configurations.Implement and troubleshoot SAS FM, VA, and VI solutions, ensuring smooth integration and communication between components.Configure and enhance the Online Decision Engine for real-time transaction processing, alerts, and customer profiling.Build and maintain batch transaction integrations, demographic data handling, blacklist management, and reporting capabilities.Manage hosting, deployment, and configuration of solutions on cloud platforms.Conduct performance troubleshooting for SAS SFM and Viya environments.Lead solution assessments, develop best practices, and align models with business-specific requirements.Collaborate with stakeholders to plan projects, estimate efforts, and deliver enhancements.Configure and manage case workflows, whitelist creation, link analysis, and job configurations.Qualifications & skills:Graduate engineering degree or equivalent.10+ years of experience as a SAS SFM SME, with recent hands-on experience within the last 2 years.5+ years as a Build Engineer working with SAS Fraud Risk Solutions.Proven expertise in SAS Fraud Management implementations across multiple regions.Strong analytical and problem-solving skills.Excellent communication skills with the ability to work independently and in teams.Ability to handle complex fraud systems and deliver solutions within tight deadlines.Technical Skills:Proficiency in SAS programming, SAS FM APIs, SAS BOSS integration, and Oracle PL/SQL.Hands-on experience with SAS Visual Analytics (VA) and SAS Visual Investigator (VI), including configuration and integration with data sources.Expertise in cloud hosting, Linux, shell scripting, and performance troubleshooting.Knowledge of fraud detection techniques, including real-time and batch processing systems.Location-Mumbai,Delhi / NCR,Bengaluru,Remote

Responsibilities:Design and develop interactive reports and dashboards using SAS Visual Analytics.Work closely with business stakeholders to understand their reporting requirements and translate them into actionable insights.Analyze complex datasets and identify trends, patterns, and anomalies to drive business outcomes.Optimize data visualization techniques to effectively communicate key metrics and performance indicators.Collaborate with cross-functional teams, including data engineers, analysts, and business users, to deliver high-quality BI solutions.Ensure data accuracy, consistency, and integrity in all reporting deliverables.Provide technical guidance and support to junior team members and end users as needed.Stay abreast of industry trends and best practices in data visualization and analytics.Qualifications:Bachelor's degree in B.E/ B.Tech/ MCA/ MBA .Proven 3 to 5 years experience as a SAS Visual Analytics Developer or similar role.Strong proficiency in SAS Visual Analytics tools, including SAS Visual Analytics Designer and SAS Visual Analytics Explorer.Proficiency in SAS programming languages, such as SAS Base and SAS Macro.Experience working with relational databases and SQL queries.Excellent analytical and problem-solving skills, with a keen attention to detail.Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.Ability to work independently and manage multiple priorities in a fast-paced environment.SAS Visual Analytics certification preferred.

Responsibilities:We are seeking a skilled SAS VI Developer to join our team. The ideal candidate will have a deep understanding of SAS Visual Investigator and its applications in fraud detection, risk management, and compliance.Key Responsibilities:Provide expertise in the implementation and configuration of SAS Visual Investigator for fraud detection and prevention, risk management, and compliance initiatives.Collaborate with clients to understand their business requirements and translate them into effective solutions using SAS Visual Investigator.Design and develop analytical models, rules, and alerts to identify anomalies, patterns, and suspicious activities.Configure dashboards and reports in SAS Visual Investigator to provide actionable insights to stakeholders.Conduct training sessions and workshops to educate clients on the use of SAS Visual Investigator and best practices in fraud detection and risk management.Work closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure successful project delivery.Provide ongoing support and maintenance for SAS Visual Investigator implementations, including troubleshooting issues and optimizing performance.Requirements:Bachelor's degree in Computer Science, Information Technology, or related field.Minimum of 5 years of experience in implementing and configuring SAS Visual Investigator.Strong understanding of fraud detection, risk management, and compliance principles and methodologies.Proficiency in SAS programming and experience with SAS Visual Analytics is preferred.Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders.Strong analytical and problem-solving abilities, with a keen attention to detail.Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities:We are seeking a skilled SAS VI Developer to join our team. The ideal candidate will have a deep understanding of SAS Visual Investigator and its applications in fraud detection, risk management, and compliance.Key Responsibilities:Provide expertise in the implementation and configuration of SAS Visual Investigator for fraud detection and prevention, risk management, and compliance initiatives.Collaborate with clients to understand their business requirements and translate them into effective solutions using SAS Visual Investigator.Design and develop analytical models, rules, and alerts to identify anomalies, patterns, and suspicious activities.Configure dashboards and reports in SAS Visual Investigator to provide actionable insights to stakeholders.Conduct training sessions and workshops to educate clients on the use of SAS Visual Investigator and best practices in fraud detection and risk management.Work closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure successful project delivery.Provide ongoing support and maintenance for SAS Visual Investigator implementations, including troubleshooting issues and optimizing performance.Requirements:Bachelor's degree in Computer Science, Information Technology, or related field.Minimum of 5 years of experience in implementing and configuring SAS Visual Investigator.Strong understanding of fraud detection, risk management, and compliance principles and methodologies.Proficiency in SAS programming and experience with SAS Visual Analytics is preferred.Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders.Strong analytical and problem-solving abilities, with a keen attention to detail.Ability to work independently and collaboratively in a fast-paced environment.

Job Summary:Were looking for an experienced professional with strong expertise in Snowflake (AWS), Airflow, DBT, Python, and SQL to develop and optimize scalable data solutions. The ideal candidate will have a deep understanding of data warehousing, ETL/ELT pipelines, cloud platforms, and analytics reporting. This role requires hands-on experience in building, managing, and optimizing data pipelines while ensuring data integrity, security, and compliance.Key Responsibilities:Design, develop, and optimize Snowflake-based data solutions.Implement and manage ETL/ELT workflows using DBT, Airflow, Informatica, Pentaho, or Fivetran.Write and optimize SQL queries for efficient data retrieval and transformation.Work with AWS cloud services (Lambda, S3, SNS/SQS, EC2) for data automation and integration.Develop and maintain data pipelines to support analytics and reporting needs.Ensure data quality, transformation, normalization, and aggregation as per business requirements.Perform query performance tuning and troubleshooting in production environments.Support CI/CD deployments, change management, and root cause analysis (RCA).Develop functional business metrics across domains such as finance, retail, and telecom.Collaborate with cross-functional teams to ensure data security, compliance, and governance.Qualifications & skills:Mandatory Skills:Snowflake (AWS): 4+ years of experience in advanced SQL and Snowflake development.Airflow: Experience in workflow orchestration and scheduling.DBT (Data Build Tool): Hands-on expertise in data transformation and modeling.Python: 3+ years of experience in advanced scripting and automation.SQL: Strong query optimization and data processing skills.Technical Skills:Data Warehousing: 4+ years of experience in data modeling, star schema, normalization/denormalization.ETL/ELT Development: 3+ years of experience in DBT, Informatica, Pentaho, or Fivetran.Cloud Platforms: 3+ years of hands-on experience with AWS or any cloud environment.Data Analytics & Reporting: 4+ years of experience in data profiling, metric development, and performance tuning.Soft Skills:Strong written and verbal communication skills for stakeholder collaboration.Ability to work in a team environment and support cross-functional projects.Experience working in enterprise environments, following best practices for CI/CD, security, change management, RCA, and on-call rotations.Preferred Qualifications:Technical Certifications in AWS / Snowflake.4+ years of experience in ETL/ELT tools (DBT, Informatica, FiveTran).4+ years of experience in industry-specific metric development (finance, retail, telecom).Team leadership experience and exposure to large-scale data support environments.Location : - Hyderabad,Bengaluru,Chennai,Pune,Kolkata

Job Summary:We seek an experienced SAS Fraud Management Engineer to design, develop, and implement solutions using the SAS Fraud Management suite, SAS Visual Analytics (VA), and SAS Visual Investigator (VI). The role involves configuring fraud rules, workflows, and UI, integrating various SAS components, and enhancing fraud detection capabilities. You will play a critical role in production rollouts, troubleshooting, and collaborating with stakeholders to ensure seamless project delivery. This position requires hands-on experience with fraud management solutions for Tier 1 and Tier 2 banks, along with expertise in SAS programming and cloud-based deployments.Key Responsibilities:Develop, configure, and optimize SAS Fraud Management, including rule coding, workflow design, and UI configurations.Implement and troubleshoot SAS FM, VA, and VI solutions, ensuring smooth integration and communication between components.Configure and enhance the Online Decision Engine for real-time transaction processing, alerts, and customer profiling.Build and maintain batch transaction integrations, demographic data handling, blacklist management, and reporting capabilities.Manage hosting, deployment, and configuration of solutions on cloud platforms.Conduct performance troubleshooting for SAS SFM and Viya environments.Lead solution assessments, develop best practices, and align models with business-specific requirements.Collaborate with stakeholders to plan projects, estimate efforts, and deliver enhancements.Configure and manage case workflows, whitelist creation, link analysis, and job configurations.Qualifications & skills:Graduate engineering degree or equivalent.10+ years of experience as a SAS SFM SME, with recent hands-on experience within the last 2 years.5+ years as a Build Engineer working with SAS Fraud Risk Solutions.Proven expertise in SAS Fraud Management implementations across multiple regions.Strong analytical and problem-solving skills.Excellent communication skills with the ability to work independently and in teams.Ability to handle complex fraud systems and deliver solutions within tight deadlines.Technical Skills:Proficiency in SAS programming, SAS FM APIs, SAS BOSS integration, and Oracle PL/SQL.Hands-on experience with SAS Visual Analytics (VA) and SAS Visual Investigator (VI), including configuration and integration with data sources.Expertise in cloud hosting, Linux, shell scripting, and performance troubleshooting.Knowledge of fraud detection techniques, including real-time and batch processing systems.Location - Remote, Hyderabad,ahmedabad,pune,chennai,kolkata.

Job Summary:Were looking for an experienced professional with strong expertise in Snowflake (AWS), Airflow, DBT, Python, and SQL to develop and optimize scalable data solutions. The ideal candidate will have a deep understanding of data warehousing, ETL/ELT pipelines, cloud platforms, and analytics reporting. This role requires hands-on experience in building, managing, and optimizing data pipelines while ensuring data integrity, security, and compliance.Key Responsibilities:Design, develop, and optimize Snowflake-based data solutions.Implement and manage ETL/ELT workflows using DBT, Airflow, Informatica, Pentaho, or Fivetran.Write and optimize SQL queries for efficient data retrieval and transformation.Work with AWS cloud services (Lambda, S3, SNS/SQS, EC2) for data automation and integration.Develop and maintain data pipelines to support analytics and reporting needs.Ensure data quality, transformation, normalization, and aggregation as per business requirements.Perform query performance tuning and troubleshooting in production environments.Support CI/CD deployments, change management, and root cause analysis (RCA).Develop functional business metrics across domains such as finance, retail, and telecom.Collaborate with cross-functional teams to ensure data security, compliance, and governance.Qualifications & skills:Mandatory Skills:Snowflake (AWS): 4+ years of experience in advanced SQL and Snowflake development.Airflow: Experience in workflow orchestration and scheduling.DBT (Data Build Tool): Hands-on expertise in data transformation and modeling.Python: 3+ years of experience in advanced scripting and automation.SQL: Strong query optimization and data processing skills.Technical Skills:Data Warehousing: 4+ years of experience in data modeling, star schema, normalization/denormalization.ETL/ELT Development: 3+ years of experience in DBT, Informatica, Pentaho, or Fivetran.Cloud Platforms: 3+ years of hands-on experience with AWS or any cloud environment.Data Analytics & Reporting: 4+ years of experience in data profiling, metric development, and performance tuning.Soft Skills:Strong written and verbal communication skills for stakeholder collaboration.Ability to work in a team environment and support cross-functional projects.Experience working in enterprise environments, following best practices for CI/CD, security, change management, RCA, and on-call rotations.Preferred Qualifications:Technical Certifications in AWS / Snowflake.4+ years of experience in ETL/ELT tools (DBT, Informatica, FiveTran).4+ years of experience in industry-specific metric development (finance, retail, telecom).Team leadership experience and exposure to large-scale data support environments.Location-Hyderabad,Bengaluru,Chennai,Pune,Kolkata