Lead Data Engineer
Virtusa
Architect (Level: Manager)
CREQ235009 Requisition #
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