Source description
About the role
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: Bachelors degree or equivalent in Computer Science, Information Technology, or related field58 years of experience in data engineering and ETL development Major Job Responsibilities: Design and develop scalable ETL/data pipelinesBuild and optimize data models and data warehousesCollaborate with analytics and business teams for data requirementsEnsure data quality, integrity, and governanceSupport cloud-based data platform initiatives Knowledge, Skills, and Abilities: Strong expertise in SQL, ETL, and data warehousingExperience with Python or Spark for data processingFamiliarity with AWS/Azure data servicesKnowledge of data integration and orchestration toolsStrong analytical and troubleshooting skills Must Have Skills: Data engineering and ETL expertiseAdvanced SQL and database technologiesPython/Spark developmentCloud data platform experience Good to Have Skills: Snowflake, Databricks, or Redshift experienceCI/CD and DevOps exposureExperience with real-time streaming technologies Working Hours: India: 05:30 PM to 02:30 AM ISTPhilippines: 08:00 PM to 05:00 AM PHT 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: Bachelors degree or equivalent in Computer Science, Information Technology, or related field58 years of experience in data engineering and ETL development Major Job Responsibilities: Design and develop scalable ETL/data pipelinesBuild and optimize data models and data warehousesCollaborate with analytics and business teams for data requirementsEnsure data quality, integrity, and governanceSupport cloud-based data platform initiatives Knowledge, Skills, and Abilities: Strong expertise in SQL, ETL, and data warehousingExperience with Python or Spark for data processingFamiliarity with AWS/Azure data servicesKnowledge of data integration and orchestration toolsStrong analytical and troubleshooting skills Must Have Skills: Data engineering and ETL expertiseAdvanced SQL and database technologiesPython/Spark developmentCloud data platform experience Good to Have Skills: Snowflake, Databricks, or Redshift experienceCI/CD and DevOps exposureExperience with real-time streaming technologies Working Hours: India: 05:30 PM to 02:30 AM ISTPhilippines: 08:00 PM to 05:00 AM PHT
More at Thermo Fisher Scientific