Senior-Data Engineer

Overview

Senior Data Engineer to design, build, and operate enterprise ETL/ELT and data automation capabilities in a global operations environment.

What you'll do

• Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory and Azure Data Lake Storage.
• Implement efficient 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 via root-cause analysis, issue resolution, and long-term stability measures.
• Enforce coding and architectural standards through code reviews and technical audits.
• Support analytics and media teams by converting business needs into scalable, high-performance technical solutions.

What you'll need

• 3-4 years of progressive experience in data engineering.
• Expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
• Proven experience designing, optimizing, and managing large-scale production data pipelines.
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing.
• Experience with SQL performance tuning, ADF orchestration, and CI/CD automation.

Details

• Based out of Gurgaon or Bangalore, India.
• Works with teams across the United States, Europe, and Asia.