Key Responsibilities:

• Architect and build scalable data platforms using Azure (ADF, Databricks, Data Lake, Synapse)
• Design and optimize ETL/ELT pipelines for large-scale data processing
• Develop distributed data solutions using PySpark and Python
• Ensure performance, cost optimization, data quality, and security
• Define data architecture standards, governance, and best practices
• Implement CI/CD and DevOps for data workflows
• Lead troubleshooting, performance tuning, and cloud migration initiatives
• Collaborate with stakeholders and mentor junior engineers

Required Skills:

• Strong experience in Azure data services (ADF, Databricks, Synapse, Data Lake, Azure SQL)
• Expertise in PySpark, Python, and advanced SQL
• Solid understanding of ETL/ELT, data warehousing, and lakehouse architecture
• Experience with DevOps, CI/CD, and Git
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