Description

You will design and build scalable data architecture and ETL pipelines to support feature engineering and data analysis.

Responsibilities

• Design and develop scalable ETL architectures and performant data pipeline solutions.
• Write well-structured, efficient, and maintainable code for data processing.
• Implement data quality checks, data mapping, and preprocessing workflows.
• Develop and maintain ETL routines using orchestration tools like Airflow.
• Provide technical guidance and mentorship to junior developers.

Required Skills

• 15+ years of experience in data engineering roles.
• Expertise in Python and SQL.
• Hands-on experience with PySpark.
• Proficiency in AWS environments.
• Strong knowledge of ETL development and data architecture.
• Experience with Airflow or similar orchestration tools.
• Ability to perform data analysis and identify gaps for feature engineering.
• Proven track record of developing and reusing data models.

Key Skills

Education

Any Gradute