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.