Senior Data Engineer

Overview

Senior Data Engineer (Data & AI) designing, building, and operating scalable data products, pipelines, and analytical foundations for business capabilities and AI-enabled decision-making.

What you'll do

• Design, build, and optimize batch and streaming data pipelines using modern data engineering patterns.
• Develop orchestration workflows for ingestion, transformations, quality checks, and downstream consumption.
• Transform complex data into reliable, reusable, and performant data products using SQL, Python, and PySpark.
• Create well-modelled, trusted datasets for reporting, visualization, advanced analytics, and AI/ML use cases.
• Partner with analytics and product teams to deliver datasets, dashboards, and visualization-ready semantic layers.
• Build feature-ready datasets and pipelines to support ML/AI/GenAI use cases and productionization.

What you'll need

• More than 6 years of experience in data engineering, analytics engineering, or data platform delivery.
• Strong proficiency in SQL, Python, and PySpark.
• Experience designing and operating ETL/ELT pipelines, orchestration workflows, and data quality checks.
• Hands-on knowledge of Python and PySpark for large-scale data processing and automation.
• Experience enabling visualization/BI/AI-ML/advanced analytics through trusted and governed data foundations.
• Familiarity with cloud data platforms, orchestration tools, and distributed data processing patterns.

Details

• Location: Bengaluru, India.