Senior Data Engineer
Skills
About This Role
Overview
- Role & responsibilities
- 6-8+ years of Data Engineering experience with demonstrable production pipeline ownership
- Expert-level Python and PySpark for large-scale data transformation
- Deep experience with Azure Databricks, Delta Lake, and Unity Catalog
- Hands-on Oracle DB integration experience: JDBC drivers, REST APIs, Oracle GoldenGate or equivalent CDC tooling
- Proficiency with Azure Data Factory, Azure Event Hubs, and Azure Blob / ADLS Gen2
- Strong SQL skills including complex window functions, CTEs, and performance optimisation
- Experience building and publishing data APIs (FastAPI or similar) for downstream consumption
- Knowledge of data modelling patterns: medallion architecture, Kimball, Data Vault
- Infrastructure-as-Code familiarity: Terraform or Bicep for Azure resource provisioning
- Experience with CI/CD for data pipelines via Azure DevOps or GitHub Actions
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