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:
Solid 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
Solid analytical and troubleshooting skills

Must Have Skills:
Data engineering and ETL expertise
Advanced SQL and database technologies
Python/Spark development
Cloud data platform experience

Positive 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.

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