We are hiring a senior data engineer to lead the development of scalable data pipelines and enable enterprise analytics. The role involves working with Databricks, Snowflake, PySpark, Microsoft Fabric, and Power Platforms.
Key Responsibilities:
Design and maintain scalable ETL and ELT pipelines using Databricks and Snowflake
Tune complex SQL queries and implement stored procedures, transformations, and CDC patterns
Integrate data flows across Microsoft Fabric, Databricks, and Snowflake ensuring governance and monitoring
Provide curated datasets and semantic models for Power BI, Power Apps, and Power Automate
Collaborate with stakeholders, troubleshoot production issues, document workflows, and mentor peers
Required Skills:
Robust experience in Python with PySpark
Expertise in SQL performance tuning and pipeline orchestration
Hands on experience with Databricks, Snowflake, Microsoft Fabric, and Power Platforms
Experience in stakeholder engagement and documentation
Advanced Power BI experience is a plus
Job Type: Full-time
Pay: Up to ₹2,000,000.00 per year
Ability to commute/relocate:
- Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)
Work Location: In person
📌 Senior Data Engineer (India)
🏢 Oro Careers And More
📍 India
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