Data Engineer
Summary
Hands-on Data Engineer (8–14 years) in Bangalore/Hyderabad who writes production-grade SQL, designs Azure Data Factory pipelines, and turns messy, undocumented source data into reliable, governed assets for Finance, IR, and Portfolio teams using Azure Databricks, Azure SQL Server, and Python/PySpark.
Job Description
We're Hiring: Data Engineer | Thought Focus ✨ Location: Bangalore / Hyderabad Experience: 8–14 years About the Role We're looking for a hands-on Data Engineer who's comfortable writing production-grade SQL, designing ADF pipelines, and turning messy, undocumented source data into reliable, governed assets — working closely with Finance, IR, and Portfolio teams. ? ? Responsibilities Have strong hands-on experience with Azure Databricks, Azure SQL Server, and Azure Data Factory Can build and optimize scalable, fault-tolerant data pipelines for ingestion and processing Understand data quality, validation frameworks, and automated testing deeply Can analyze data patterns, spot inconsistencies/anomalies, and rigorously validate data — not just process it Document data models, pipelines, and data dictionaries clearly for both technical and business stakeholders Are strong in SQL (T-SQL is a plus) and Python with PySpark, Data Frames, and API integration Push back on over-engineering and have a strong automation mindset Qualifications Bonus points: CI/CD & DevOps release pipelines, YAML configs, AI/MCP tooling with LLM workflows, Power BI reporting . Required Skills Strong hands-on experience with Azure Databricks, Azure SQL Server, and Azure Data Factory . Preferred Skills CI/CD & DevOps release pipelines, YAML configs, AI/MCP tooling with LLM workflows, Power BI reporting Send your resume to santhosh.krishnappa@thoughtfocus.com .