Extensive experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions
Strong Data Architecture expertise including different data modelling techniques and design patterns (conceptual, logical, physical, semantic is preferred)
Strong knowledge of data governance such as data lineage, technical metadata, data quality and reconciliation
Ability to drive platform efficiency through automation and AI capabilities
AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS
Data Orchestration \& Pipelines: Airflow, Dataform
Data Formats \& Modelling: Iceberg, JSON, XML, CSV, Data Modelling Programming \& DevOps: Python, SQL, Git, GitHub Actions, Team City, Jenkins, Octopus Unix shell scripting
ETL \& Ingestion: File ingress/egress solutions in AWS
Security and Observability: DevSecOps, Artifactory, Observability tooling
Testing \& Automation: test automation frameworks, Jupyter Notebooks
Familiarity with data warehousing and build experience in Teradata, Oracle
Experience in visualisation tools such as PowerBI, Tableau
Familiarity and experience with Agile processes
AWS Data Engineer Associate certification
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.