Description

You will build and maintain production data pipelines and ETL processes across cloud and on-premise environments.

Responsibilities

• Develop and maintain production data pipelines and ETL processes.
• Support data applications for business, analytics, and ML teams.
• Manage data workflows across cloud and on-premise servers and data warehouses.
• Deliver data solutions under supervision.
• Travel to client sites as required.

Required Skills

• 5+ years of professional experience.
• Proficiency in SQL and Python.
• Experience with Big Data tools including Spark, Hadoop, and Kafka.
• Hands-on experience with AWS and Azure cloud services.
• Experience using Docker containers.
• Ability to work with both cloud and on-premise data warehouses.

Preferred Skills

• Master's Degree in Computer Science, Data Science, IT, or a related Engineering field.

Key Skills

Education

Any Graduate