Lead Data Engineer
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AI Summary
The Lead Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and platforms to support business operations. This includes optimizing data models, ensuring data governance, and collaborating with analytics teams to meet data requirements.
Work Schedule
OtherEnvironmental Conditions
OfficeJob 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
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