Senior Data Engineer

Overview

Senior Data Engineer to design, build, and operate reliable, scalable data pipelines for enterprise business functions. The role combines data engineering with DevOps-style CI/CD deployment and operational support.

What you'll do

• Design, build, and maintain production-grade data pipelines on Databricks.
• Develop ETL/ELT processes focused on data quality, consistency, and scalability.
• Contribute to reusable ingestion, transformation, and reconciliation frameworks.
• Deploy changes through CI/CD and the Change Request (CR) lifecycle, including validation and ticket closure.
• Support operational health of business-critical data workloads with monitoring, alerting, and incident response.
• Partner with reporting, visualization, platform, and business teams to deliver curated datasets and document workflows.

What you'll need

• 4+ years of experience in data engineering.
• Hands-on experience with Databricks.
• Hands-on experience with Python (PySpark) and SQL for data processing and transformation.
• Experience designing and delivering production data pipelines (ETL/ELT).
• Working knowledge of CI/CD pipelines and Git-based branching strategies.
• Familiarity with cloud platforms (AWS preferred) and core data services.
• Experience supporting production data pipelines, including monitoring, alerting, and incident response.

Details

• Location: Bangalore