Description

You will build and maintain data pipelines and development workflows as a Senior Data Engineer.

Responsibilities

• Build and manage ETL processes to support data workflows.
• Develop and maintain data pipelines using Python.
• Implement and manage streaming data using Kafka.
• Transition existing workflows to AWS Glue in the coming months.

Required Skills

• 3+ years of experience with Python, specifically for both data pipelines and general development.
• Hands-on experience with Spark or PySpark.
• Proven experience working with Kafka.
• Practical knowledge of ETL processes.
• Experience working within AWS environments.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree