Job Description

Minimum 5+ years of development and design experience in experience as Data Engineer Experience on Big Data platforms and distributed computing

(e.g. Hadoop, Map/Reduce, Spark, HBase, Hive)

Experience in data pipeline software engineering and best practice in python (linting, unit tests, integration tests, git flow/pull request process, object-oriented development, data validation, algorithms and data structures, technical troubleshooting and debugging, bash scripting ) Experience in Data Quality Assessment (profiling, anomaly detection) and data documentation (schema, dictionaries) Experience in data architecture, data warehousing and modelling techniques (Relational, ETL, OLTP) and consider performance alternatives Used SQL, PL/SQL or T-SQL with RDBMSs production environments, no-SQL databases nice to have Linux OS configuration and use, including shell scripting. Well versed with Agile, DevOps and CI/CD principles (GitHub, Jenkins etc.), and actively involved in solving, troubleshooting issues in distributed services ecosystem

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.