Job Description

Experience Level: 6-8 years

Primary Skill: PostgreSQL, AWS, Amazon Bedrock



Responsibilities

Design, develop, and maintain data pipelines supporting GenAI applications and RAG workflows Integrate structured and unstructured data from multiple sources into PostgreSQL and cloud storage Prepare and optimize datasets for LLM training, inference, and analytics Implement ETL/ELT processes and data transformation workflows using AWS services (S3, Lambda, Glue, Step Functions) Ensure data quality, validation, and consistency across pipelines Support monitoring, logging, and troubleshooting of data workflows Collaborate with GenAI developers and architects to enable AI-driven solutions

Required Qualifications

5+ years of experience in data engineering or analytics Hands-on experience with PostgreSQL, including complex queries, indexing, and data modeling Strong experience with AWS data services (S3, Glue, Lambda, Redshift, Step Functions) Experience with data pipelines, ETL/ELT processes, and batch/streaming workflows Proficiency in Python, SQL, or similar languages


Preferred Qualifications

Experience preparing datasets for GenAI or LLM applications Familiarity with vector databases or embeddings for RAG pipelines Knowledge of data governance, privacy, and security practices Experience with CI/CD for data pipelines and MLOps workflows AWS Certified Data Analytics or Solutions Architect certifications

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.


Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.


Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.