Job Description:
Must Have Skills:
Strong hands‑on experience with Azure Data Lake Gen2, Synapse, Databricks
Solid experience in PySpark / Spark SQL, Databricks performance tuning &
job optimization
Proficient in Complex SQL (window functions, CTEs, execution plans)
Strong understanding in Mentoring junior and mid‑level engineers,
Communicating trade‑offs to architects and product teams
Experience working with Azure DevOps or GitHub Actions
Exposure to Data Governance & Metadata Management in Data
classification & sensitivity labels
Familiarity with Advanced Python Engineering Practices on Performance‑aware
Python design
Experience working in Analytics & BI Awareness
Knowledge of Cloud Cost Optimization & FinOps
The candidate will collaborate closely with analytics,
data science, product, and business teams while mentoring engineers and
driving engineering best practices across the data organization.
The role combines technical
leadership, architecture ownership, and business impact.


