Lead Data Engineer - Azure & Databricks

Job Description

Key Skill : DWH, ETL, Pyspark, ADB, ADF

•  10+ years of experience in data engineering, with at least 2 years in a leadership or senior developer role.
•  Strong hands-on expertise in Azure ecosystem – including Azure Data Lake Storage (ADLS), Azure Synapse, Azure Data Factory, and Azure Functions.
•  Deep knowledge of Databricks, including experience with PySpark, Delta Lake, and performance tuning.
•  Experience working with structured and unstructured data at scale.
•  Proficient in SQL, Python, and Spark-based data processing.
•  Experience with CI/CD tools (e.g., Azure DevOps, GitHub Actions) for data engineering workflows.
•  Familiar with data modeling, data governance, and security practices on Azure