Senior Engineer, Data Engineering

Overview

Senior Data Engineer to design and deliver scalable data infrastructure and pipelines, integrating data into a consolidated customer view for engagement, measurement, and targeting.

What you'll do

• Design, implement, and maintain high-performance big data infrastructure and processing pipelines.
• Architect resilient integrations with upstream data systems.
• Translate business requirements into logical, scalable data pipelines and processes.
• Monitor, troubleshoot, and optimize data platform performance and query execution.
• Define and track data quality metrics to ensure accuracy, consistency, and completeness.
• Partner with product teams on the roadmap and ensure technically accurate, feasible updates.
• Collaborate with product, engineering, QA, and operations teams while conducting targeted engineering research.

What you'll need

• 5+ years of experience designing and developing big data processing systems using distributed computing.
• 1+ years of production experience with modern cloud data warehouses (Snowflake).
• Advanced dbt workflows experience.
• Fluency in Python and Spark (PySpark).
• Expert knowledge optimizing complex SQL queries.
• Hands-on experience with NoSQL (DynamoDB, MongoDB).
• Experience with job orchestration tools like Airflow.

Details

• Location: Bangalore.