Data Engineer

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

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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 [Confidential Information]

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