Description

You will own the data movement and modernization of legacy pipelines, processing vendor data for internal teams.

This role is on-site.

Responsibilities

• Build and maintain data processing pipelines using Databricks and Spark.
• Manage data warehousing and analytics in Snowflake.
• Develop data integration solutions using Python and Java.
• Modernize legacy data systems and implement CI/CD practices.
• Collaborate with teams to ensure reliable data flow from external sources.

Required Skills

• 5+ years of experience as a Data Engineer.
• Strong proficiency in Databricks and Spark.
• Hands-on experience with Snowflake.
• Proficient in Python and Java development.
• Experience with AWS cloud services.
• Understanding of CI/CD pipelines and data engineering best practices.
• Bachelor's degree in a related field.

Preferred Skills

• Experience with legacy system modernization.
• Background in data movement from external bureaus.

Key Skills

Education

Bachelor's degree