Azure Data Engineer

Role: Senior Azure Data Engineer Location: Hybrid – Onsite 2–3 days/week Type: 12-Month Contract / Full-Time Experience: 10+ Years Total | 5+ in Azure Data Engineering Key Responsibilities • Design, develop, and optimize data ingestion, transformation, and integration pipelines using Azure Data Factory, Databricks, and Synapse Analytics. • Build data lakehouse architectures leveraging Azure Data Lake (ADLS Gen2) and Delta Lake for large-scale banking, financial, and retail data systems. • Develop and maintain ETL/ELT pipelines in PySpark, SQL, and Python, ensuring performance, scalability, and data integrity. • Implement data models and pipelines to support risk analytics, transaction monitoring, sales forecasting, and customer insights. • Collaborate with business teams and BI developers to deliver data solutions for Power BI and reporting dashboards. • Ensure data governance, lineage tracking, and security compliance (GDPR, PCI-DSS, SOX). • Deploy and automate workflows using Azure DevOps, Git, and CI/CD pipelines. Required Skills • 10+ years of experience in data engineering, including 5+ years on Azure. • Strong expertise in Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, and ADLS Gen2. • Proficiency in SQL, Python, and PySpark for large-scale data transformations. • Deep understanding of data modeling, warehousing, and lakehouse patterns. • Experience with banking and financial datasets (transactions, risk, compliance) or retail data pipelines (sales, POS, customer analytics). • Familiarity with Azure Monitor, Log Analytics, and data governance frameworks. Preferred Skills • Experience with Power BI, Snowflake, or Data Mesh architectures. • Understanding of real-time data streaming (Kafka, Event Hub). • Certification: Microsoft DP-203 (Azure Data Engineer Associate) preferred.