Engage with hiring managers to gather detailed role requirements and key hiring criteria.Utilise multiple job boards, LinkedIn, and other sourcing platforms effectively.Maintain a talent pipeline for quick turnaround on high-priority roles.Conduct in-depth candidate evaluations for technical and functional fit.Leverage AI tools to automate and Conduct AI tool-led interview rounds to assess technical and behavioral competencies. Timely submit profiles and ensure interview coordination with the hiring managers Assist in negotiation with candidates to help the clients to close the position and they join the organization Maintain high candidate engagement and reduce time-to-fill metrics.

Experience in data miningUnderstanding of machine-learning and operations researchKnowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an assetExperience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)Analytical mind and business acumenStrong math skills (e.g. statistics, algebra)Problem-solving aptitudeExcellent communication and presentation skillsPreferred candidate profile Perks and benefits

Design, develop, and maintain scalable microservices using Java and Spring Boot, ensuring high performance and low latency.• Create and manage RESTful APIs, adhering to best practices in API design and security.• Implement and optimize SQL and NoSQL databases to support application requirements and enhance data retrieval performance.• Utilize Docker and Kubernetes for containerization and orchestration of applications, ensuring seamless deployment in cloud environments.• Leverage AWS cloud services to build and deploy applications, ensuring efficient resource management and cost-effectiveness.• Establish and maintain CI/CD pipelines to automate testing and deployment processes, enhancing development efficiency.• Collaborate with cross-functional teams in an Agile environment to deliver high-quality software solutions on time.• Conduct unit testing and performance optimization to ensure robustness and reliability of applications.• Troubleshoot and resolve issues in production environments, applying critical thinking and problem-solving skills.• Design and implement event-driven architectures using message brokers to facilitate real-time data processing.• Mentor junior engineers, fostering a culture of teamwork and collaboration while promoting best practices in software development.• Utilize monitoring tools to track application performance and implement improvements based on analytics and user feedba

Job Description: About Role: This senior full stack developer role is part of the Delivery organization and will be responsible for various implementations across the globe. We are currently looking for a Full Stack Software Engineer that: • Design, develop, test and debug moderately complex software solutions • Enhancements to existing software in a maintenance capacity • Has good understanding of business application • Works with technical staff to understand problems with software and resolve them • Resolves customer complaints with software and responds to suggestions for improvements and enhancements • Assist in the development of software technical documentation • Demonstrates software to the stake holders • Design and build prototype applications as required. As senior developers, we are also looking for tech leadership skills to support and guide members of a team as needed. Work Location: Vashi Navi Mumbai Skills and Competencies - Engineering degree holders, MCA or Post graduate diploma holders with least 6 years of experience in: Must have: • Expert level programming knowledge using core Java libraries (JDK11+) • Good Problem-solving skills • Good Knowledge of Object-Oriented Programming and design frameworks • Good knowledge and professional experience in Spring Boot and JPA frameworks • Good knowledge and professional experience of relational databases, SQL and ORM. Must be able to write moderate to complex SQL queries. • Good knowledge and professional experience of reading/writing JSON documents. • Good knowledge and professional experience of writing complex web-service using Spring framework (REST APIs) along with YAML specifications, including annotation-based validation of payloads. • Good knowledge and experience of development tools like Eclipse/STS/IntelliJ Good to have: • Knowledge of web technologies like HTML, CSS, JavaScript, JQuery • Knowledge of reading/writing XML /CSV/Excel documents • Knowledge of Web/Application Servers & hosting (Apache/Tomcat/JBoss/Weblogic/Websphere etc.) • DevOps work using Azure or AWS • Hosting using Docker/Containers • Storage and events using MongoDB, MySQL, ElasticSearch, Redis/NoSQL • deployment using tools like GitHub, Jenkins etc.

Job Title: Data Engineer (3-5 Years Experience)Location: HYBRID- Mostly RemoteEmployment Type: Full-Time/ ContractJob Summary:We are seeking a highly skilled Data Engineer with 3-5 years of experience in designing, building, and optimizing data pipelines and cloud-based data solutions. The ideal candidate should have in-depth expertise in one of the following primary technologies: AWS, Azure, Databricks, or Snowflake while being familiar with other cloud and big data platforms. This role requires strong ETL development skills, data modeling knowledge, and a deep understanding of cloud-based data engineering best practices.Key Responsibilities:Design, develop, and optimize data ingestion and transformation pipelines using ETL/ELT frameworks.Implement big data processing solutions using Databricks (PySpark, Scala), Snowflake, AWS, or Azure.Develop and maintain structured and semi-structured data models, ensuring efficient data warehousing and analytics.Optimize data pipeline performance, handling large-scale datasets with efficiency.Ensure data governance, security, and compliance in cloud-based environments.Work with cloud-based storage, compute, and database services (e.g., AWS Redshift, Azure Synapse, Snowflake, Databricks Delta Lake).Collaborate with analysts, data scientists, and business teams to support reporting, analytics, and machine learning initiatives.Troubleshoot and resolve data pipeline and infrastructure issues.Implement monitoring and alerting mechanisms to maintain data pipeline health.Required Skills & Qualifications:3-5 years of experience in data engineering, cloud computing, and ETL development.Primary expertise in one of the following:Databricks: Strong experience in Apache Spark, PySpark, Scala, and performance optimization.Snowflake: Deep knowledge of Snowflake architecture, SQL optimization, data sharing, and security best practices.AWS: Experience with AWS Glue, Redshift, S3, Lambda, and Step Functions for data workflows.Azure: Strong expertise in Azure Synapse, Data Factory, ADLS, and Databricks on Azure.Proficiency in SQL, Python, and data modeling techniques.Hands-on experience with structured and semi-structured data formats (JSON, Avro, Parquet, XML).Experience with data orchestration tools (Airflow, DBT, Prefect).Strong understanding of data security, governance, and compliance best practices.Excellent problem-solving and troubleshooting skills in big data environments.Preferred Qualifications:Experience with CI/CD pipelines for data engineering.Familiarity with real-time data streaming using Kafka, Kinesis, or Spark Streaming.Exposure to machine learning workflows and MLOps best practices.Knowledge of BI and visualization tools like Power BI, Looker, or Tableau.