Lead Data Engineer

Work Schedule Other Environmental Conditions Office Job Description 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 Strong 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 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.