Data Engineer - Azure

Overview

Senior Data Engineer (Azure) for the Global Operations Centre (GOC), based in Gurgaon/Bangalore.

What you'll do

• Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory, Azure Data Lake Storage, and serverless technologies.
• Implement complex SQL solutions with query optimization, partitioning, and indexing for analytics and real-time processing.
• Build automation frameworks using Python and API orchestration to streamline the data lifecycle.
• Own production pipeline reliability by identifying and resolving issues via root-cause analysis and stability measures.
• Set quality standards through code reviews and technical audits for the offshore engineering team.
• Maintain documentation, data lineage, and automated CI/CD deployment practices for governance and auditability.
• Support analytics and media teams by translating business challenges into scalable Azure/SQL solutions.

What you'll need

• 3-5 years of progressive experience in data engineering.
• Expert-level mastery of Azure Data Factory and SQL.
• Expertise designing, optimizing, and managing large-scale production-grade data pipelines.
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing.
• Experience with Azure and/or GCP cloud data platforms is required.

Details

• Locations: Bangalore, India; Gurgaon, India.
• Role is based out of Gurgaon/Bangalore.