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
- 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
