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