Job Description

Primary Skills



SQL

AWS



JD



Design, develop, and maintain scalable ETL pipelines using AWS Glue, PySpark, and AWS Lambda.

Migrate structured and semi-structured data from existing data lakes (e.g., S3, Hadoop) to Amazon Redshift.

Optimize data ingestion and transformation processes for performance and cost-efficiency.

Collaborate with data architects, analysts, and business stakeholders to understand data requirements and ensure data quality.

Implement data validation, cleansing, and transformation logic.

Monitor and troubleshoot data pipelines and workflows.

Ensure data security and compliance with organizational and regulatory standards.

Document data flows, architecture, and processes.



Responsibility



Design, develop, and maintain scalable ETL pipelines using AWS Glue, PySpark, and AWS Lambda.

Migrate structured and semi-structured data from existing data lakes (e.g., S3, Hadoop) to Amazon Redshift.

Optimize data ingestion and transformation processes for performance and cost-efficiency.

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.