Description

You will design, develop, and manage data integration processes to transform and load data from diverse sources into target systems.

This role is hybrid.

Responsibilities

• Develop and maintain ETL processes and data integration solutions.
• Optimize data workflows to ensure quality and integrity.
• Support business intelligence and analytics through efficient data loading.
• Provide technical guidance to junior developers in an agile environment.
• Maintain documentation and ensure adherence to security and compliance standards.

Required Skills

• 7-10+ years of experience in data engineering, database design, and ETL.
• 5+ years of experience with Python, PySpark, and AWS tools (S3, EMR, Glue, Athena, Redshift, Postgres, RDS, Lambda).
• 3+ years of experience working with databases and data warehouses.
• Proficiency in Apache Spark and Python for processing large datasets.
• Experience with system integration and CI/CD implementation.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

Key Skills

Education

Bachelor's degree