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. ?

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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 solid automation mindset

Qualifications

Bonus points: CI/CD & DevOps release pipelines, YAML configs, AI/MCP tooling with LLM workflows, Power BI reporting

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Required Skills

Strong hands-on experience with Azure Databricks, Azure SQL Server, and Azure Data Factory

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Preferred Skills

CI/CD & DevOps release pipelines, YAML configs, AI/MCP tooling with LLM workflows, Power BI reporting

Send your resume to [email protected]

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📌 Data Engineer (India)
🏢 ThoughtFocus
📍 India