We are seeking a highly skilled Azure Data Engineer with expertise in Microsoft Azure, Azure Databricks, and Microsoft Synapse Analytics. The ideal candidate will be responsible for designing, implementing, and optimizing cloud-based data solutions within the Microsoft ecosystem. This role requires strong technical knowledge of Azure data services, data warehousing, and big data processing to support business intelligence, analytics, and AI initiatives. Key Responsibilities:Design and develop end-to-end data solutions using Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, and Azure SQL.Implement ETL/ELT pipelines to extract, transform, and load data from multiple sources into Azure-based data lakes and warehouses.Optimize big data processing using Apache Spark, Delta Lake, and Databricks.Configure and manage Synapse Analytics (formerly Azure SQL Data Warehouse) for scalable data storage and querying.Develop data models, indexing strategies, and performance tuning for efficient querying.Work with Azure Blob Storage, ADLS (Azure Data Lake Storage), and Parquet/ORC file formats for data storage.Implement data governance, security, and compliance policies using Azure Purview, RBAC, and Data Masking.Automate workflows using Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform/ARM templates).Collaborate with data analysts, business intelligence teams, and cloud architects to deliver analytics-driven solutions.Troubleshoot performance bottlenecks, optimize queries, and ensure data reliability and availability.Required Skills & Qualifications:Bachelor's degree in Computer Science, Data Engineering, IT, or a related field.Minimum 3 years of relevant experience in data engineering with Microsoft Azure data services.Strong expertise in Azure Databricks, Apache Spark, and Synapse Analytics.Proficiency in SQL, Python, Scala, or PySpark for data processing.Hands-on experience with Azure Data Factory (ADF), Azure Functions, and Event Hubs.Knowledge of data warehouse concepts, star/snowflake schema, and performance tuning.Experience with Azure security best practices (RBAC, Managed Identities, Data Encryption).Familiarity with machine learning and AI integration in Databricks is a plus.

We are seeking a skilled Tableau/Power BI Developer to design, develop, and maintain business intelligence solutions. The ideal candidate will have expertise in data visualization, dashboard development, and data modeling, with a strong ability to analyze complex data sets and translate them into meaningful insights for business decision-making. Key Responsibilities: Develop interactive dashboards and reports using Tableau and Power BI.Collaborate with business stakeholders to understand requirements and translate them into technical solutions.Extract, transform, and load (ETL) data from various sources to build efficient data models.Optimize SQL queries and ensure performance tuning for large datasets.Implement best practices in data visualization and report design.Ensure data accuracy, consistency, and security across reports and dashboards.Troubleshoot and resolve issues related to BI tools and data sources.Work closely with data engineers and analysts to integrate and improve data pipelines.Stay updated with the latest BI trends, tools, and technologies. Required Skills & Qualifications:2+ years of experience in Tableau and Power BI development.Strong proficiency in SQL and database management (e.g., MySQL, SQL Server, PostgreSQL).Experience with DAX, Power Query, and data modeling in Power BI.Knowledge of Tableau Server/Power BI Service for report publishing and sharing.Experience in integrating multiple data sources (APIs, cloud databases, flat files, etc.).Familiarity with ETL tools and data transformation techniques.Excellent problem-solving and analytical skills.Strong communication skills to interact with business stakeholders. Preferred Qualifications:Experience with Python/R for data analytics.Knowledge of cloud platforms like AWS, Azure, or Google Cloud.Familiarity with other BI tools like Looker, QlikView, or MicroStrategy.Certification in Tableau or Power BI is a plus.

We are seeking an experienced Senior FileMaker Developer to join our dynamic team. As a Senior FileMaker Developer, you will be responsible for designing, developing, and maintaining custom FileMaker solutions, while working closely with cross-functional teams to optimize and enhance business workflows. You will leverage your advanced knowledge of the FileMaker platform to create robust and efficient solutions that meet the needs of the business. Key ResponsibilitiesDesign, develop, and deploy custom FileMaker solutions for internal and external stakeholdersWork closely with users to gather requirements and translate them into functional specificationsWrite complex scripts, calculations, and workflows to automate tasks and improve productivityProvide ongoing support and maintenance for FileMaker databases, ensuring optimal performance and resolving issues in a timely mannerIntegrate FileMaker solutions with other systems, APIs, and external databases as neededPerform troubleshooting, debugging, and testing of applications to ensure reliability and accuracyAssist with the training of end-users, providing documentation and user-friendly supportStay updated with the latest FileMaker features and best practices to continually improve development processesParticipate in code reviews, ensuring high-quality code and adherence to standardsCollaborate with other developers and IT staff on system design and architecture decisions.QualificationsProven experience (3+ years) as a FileMaker DeveloperStrong knowledge of relational database concepts and experience with FileMaker's scripting, calculation engine, and layoutsExperience integrating FileMaker with other software applications using APIs, RESTful services, and external databasesSolid understanding of database design principles, normalization, and performance optimizationExperience with security management, including user access control and data protectionProficient in FileMaker Advanced, FileMaker Cloud, and knowledge of FileMakers web and mobile deploymentExcellent problem-solving skills and the ability to think critically about business requirements and technical solutionsStrong communication skills to interact with stakeholders at all levels of the organizationAbility to work independently as well as part of a collaborative teamBachelors degree in Computer Science, Information Systems, or a related field is preferred, but equivalent experience will be considered

The Institute Training Manager is responsible for overseeing the planning, development, and execution of training programs to ensure high-quality education and skill development.Roles and Responsibilities:1. Training Program Development & ManagementDesign, develop, and update data science courses based on industry trends (Python, R, Machine Learning, AI, Big Data, Deep Learning, etc.).Ensure training content aligns with industry certifications and global best practices.Collaborate with data scientists and industry experts to enhance course materials.Implement blended learning methods (classroom, online, hands-on projects).Evaluate training effectiveness through student performance, feedback, and assessment metrics.2. Trainer & Faculty ManagementRecruit, hire, and manage qualified data science trainers and mentors.Provide training and development opportunities for faculty members.Monitor trainer performance and ensure they use effective teaching methodologies.3. Student & Learner SupportOversee student enrollment, onboarding, and learning progress tracking.Address student queries and provide career guidance in data science.Ensure students receive hands-on experience through real-world projects, case studies, and hackathons.4. Technology & Infrastructure ManagementEnsure labs, computing resources, cloud environments (AWS, Azure, Google Cloud), and AI tools meet training requirements.Implement Learning Management Systems (LMS) and online learning platforms.Stay updated with emerging technologies in Data Science and AI and recommend upgrades.5. Placement & Career DevelopmentCoordinate with out internal recruitment teams to ensure high placement rates for students.Guide students on resume building, interview preparation, and career planning.Organize career fairs and networking events for data science job opportunities.6. Quality Assurance & ComplianceMaintain high-quality training standards aligned with accreditation bodies.Track and analyze student success rates, feedback, and training improvements.Ensure compliance with educational and data privacy regulations.Manage training budgets and ensure efficient allocation of resources.Key Skills Required:Strong knowledge of Data Science, AI, ML, Big Data, and Cloud Computing.Minimum 5 years of relevant experience.Experience in curriculum design and instructional methodologies.Leadership and faculty management skills.Knowledge of LMS, online training tools, and virtual labs.Strong industry networking and placement support capabilities.Excellent communication, organizational, and strategic planning skills.

We are seeking a skilled ETL SSIS Developer to design, develop, and maintain robust ETL solutions using Microsoft SQL Server Integration Services (SSIS). The ideal candidate will be responsible for data extraction, transformation, and loading (ETL) processes to ensure seamless data integration and reporting across multiple platforms.Key Responsibilities:Develop, implement, and maintain ETL processes using SSIS and SQL Server.Design, build, and optimize data warehouse solutions to support business intelligence and reporting needs.Collaborate with business analysts, data architects, and stakeholders to understand data requirements and develop efficient ETL solutions.Optimize and tune ETL workflows for performance, scalability, and reliability.Ensure data integrity, quality, and security across all ETL processes.Debug, troubleshoot, and resolve data inconsistencies, performance issues, and failures in ETL processes.Implement logging, monitoring, and error handling for ETL jobs to ensure stability and reliability.Document technical solutions, processes, and best practices for ETL development. Required Skills & Qualifications:2+ years of hands-on experience in ETL development using SSIS.Proficiency in SQL Server (T-SQL, Stored Procedures, Functions, Triggers, Performance Tuning, Indexing, and Query Optimization).Experience with Data Warehousing concepts, Star Schema, and Snowflake Schema.Strong understanding of data modeling, database design, and ETL architecture.Experience with job scheduling and automation tools (e.g., SQL Agent, PowerShell, or third-party tools).Familiarity with cloud-based ETL solutions (Azure Data Factory, AWS Glue, etc.) is a plus.Knowledge of SSRS, Power BI, or other BI tools is an advantage.Ability to troubleshoot, debug, and optimize ETL workflows effectively.Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.