Found Description
Required Skills: - 4-7 years of working experience and Strong expertise in SQL and Python, including pandas and PySpark, with a focus on analytical and large‑scale data engineering. - Deep hands‑on experience with Azure Databricks, including PySpark, Delta Lake, notebooks, cluster configuration, performance tuning, and cost optimization. - Experience with Azure Synapse, ADF, Azure Functions - Knowledge of Databricks workflows / job orchestration - Strong working knowledge of Unity Catalog, including data governance, access control, lineage, and security best practices. - Advanced PySpark skills covering distributed processing, optimization strategies, handling large and small files, and performance tuning. - Advanced SQL skills (complex joins, window functions, query optimization, analytical patterns). - Strong understanding of ETL / ELT architecture, data modeling, data quality frameworks, and governance principles. - Solid understanding of Risk and Regulatory data domains, including ...