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:
Robust 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
Positive 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
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Lead Data Engineer Karnataka
🏢 Thermo Fisher Scientific
📍 Karnataka
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