Pyspark, Hadoop

Job Summary:
Design and implement ETL workflows using AWS Glue, Python, and PySpark.
Develop and optimize queries using Amazon Athena and Redshift.
Build scalable data pipelines to ingest, transform, and load data from various sources.
Ensure data quality, integrity, and security across AWS services.
Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
Monitor and troubleshoot ETL jobs and cloud infrastructure performance.
Automate data workflows and integrate with CI/CD pipelines.

Required Skills & Qualifications:
Hands-on experience with AWS Glue, Athena, and Redshift.
Strong programming skills in Python and PySpark.
Experience with ETL design, implementation, and optimization.
Familiarity with S3, Lambda, CloudWatch, and other AWS services.
Understanding of data warehousing concepts and performance tuning in Redshift.
Experience with schema design, partitioning, and query optimization in Athena.
Proficiency in version control (Git) and agile development practices.

**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.