Description

You will lead data engineering efforts, focusing on Master Data Management (MDM) implementation and automated ETL pipelines.

Responsibilities

• Lead Product MDM implementations using GoldenSource or similar tools.
• Design, develop, and implement automated ETL processes.
• Assess data complexity including volume, structure, and relationships.
• Manage workflows using Apache Airflow.
• Implement data solutions using AWS cloud components.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Expertise in designing and automating ETL processes.
• Proficiency in Python and PySpark.
• Strong proficiency in SQL and relational databases.
• Experience with Apache Airflow for workflow management.
• Hands-on experience with AWS Cloud components including S3, RDS, and Data Encryption.
• Experience with Product MDM implementation.

Preferred Skills

• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate