
Overview
Strong understanding of distributed computing, big data principles, and batch/stream processing.
Proficiency in working with AWS services such as S3, EMR, Glue, Lambda, and Athena.
Experience with Data Lake architectures and handling large volumes of structured and unstructured data.
Familiarity with various data formats.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Design, develop, and optimize large-scale data processing pipelines using Java Spark
Build scalable solutions to manage data ingestion, transformation, and storage in AWS-based Data Lake environments.
Collaborate with data architects and analysts to implement data models and workflows aligned with business requirements.
Ensure performance tuning, fault tolerance, and reliability of distributed data processing systems.
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.