Lead Data Engineer Work Schedule Other Environmental Conditions Office Summarized Purpose: We are seeking a Lead Data Engineer responsible for designing, building, and maintaining scalable data pipelines and data platforms to support analytics and business operations.

Education/Experience: Bachelor’s degree or equivalent in Computer Science, Information Technology, or related field 5–8 years of experience in data engineering and ETL development Major Job Responsibilities: Design and develop scalable ETL/data pipelines Build and optimize data models and data warehouses Collaborate with analytics and business teams for data requirements Ensure data quality, integrity, and governance Support cloud-based data platform initiatives Knowledge, Skills, and Abilities: Strong expertise in SQL, ETL,



and data warehousing Experience with Python or Spark for data processing Familiarity with AWS/Azure data services Knowledge of data integration and orchestration tools Solid analytical and troubleshooting skills Must Have Skills: Data engineering and ETL expertise Advanced SQL and database technologies Python/Spark development Cloud data platform experience Good to Have Skills: Snowflake, Databricks, or Redshift experience CI/CD and DevOps exposure Experience with real-time streaming technologies Working Hours: India: 05:30 PM to 02:30 AM IST Philippines: 08:00 PM to 05:00 AM PHT Experience Level Senior Level

📌 Lead Data Engineer (Bengaluru)
🏢 Thermo Fisher Scientific India
📍 Bengaluru