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
Experience in Agile methodology.
Ensure quality of technical and application architecture and design of systems across the organization.
Effectively research and benchmark technology against other best in class technologies.
Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness,
by sharing deep knowledge and experience.
Self-motivator and self starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.
Have excellent soft and interpersonal skills to interact and present the ideas to team. The engineer should've good listening skills and speaks clearly in front of team, stakeholders and management. The engineer should always carry positive attitude towards work and establishes effective team relations and builds a climate of trust within the team. Should be enthusiastic and passionate and creates a motivating environment for the team.
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
Experience in Agile methodology.
Ensure quality of technical and application architecture and design of systems across the organization.
Effectively research and benchmark technology against other best in class technologies.
Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness,
by sharing deep knowledge and experience.
Self-motivator and self starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.
Have excellent soft and interpersonal skills to interact and present the ideas to team. The engineer should've good listening skills and speaks clearly in front of team, stakeholders and management. The engineer should always carry positive attitude towards work and establishes effective team relations and builds a climate of trust within the team. Should be enthusiastic and passionate and creates a motivating environment for the team.
Key job details
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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
Learn more
Awards and recognition
Syncing your Virtusa Information
Syncing Complete
Exporting your personal Virtusa brand items
Export Complete
Check your downloads folder for files and implementation instructions.
Assets are now available in your profile for future editing and use.
Loading your existing headshots
Please select any one of the images below
Downloading Secure Assets
Signing out