We are looking for a Product Data Engineer to maintain and optimize data pipelines in AWS for product analytics and decision-making. This role focuses on ensuring data flow, availability, and performance while optimizing costs.
In Short
Develop and optimize scalable data pipelines using Python and AWS services.
Manage ETL/ELT workflows with tools like Airflow and Glue for data integrity.
Improve storage efficiency and query performance for large datasets.
Implement logging and monitoring for pipeline reliability.
Collaborate with cross-functional teams to provide quality data for decision-making.
Requirements
Experience with Data Engineering or a related role.
Strong Python proficiency for data processing and automation.
Experience with AWS and basic SQL.
Hands-on experience with ETL orchestration using Apache Airflow.
Familiarity with CI/CD pipelines and version control (Git).
Benefits
Competitive salary and benefits package.
Opportunities for professional growth and development.
Work in a collaborative and innovative environment.
Access to cutting-edge technology and tools.
Flexible working hours and a supportive team culture.