A company is looking for a Data Platform Developer to build and operate a modern data platform that enables a Data Mesh architecture.
Key Responsibilities
Develop and maintain platform tools for deployment and automation of data products
Partner with value stream teams to adopt Data Mesh principles for data product ownership and scaling
Design and optimize ingestion and transformation pipelines using SQL, Python, and PySpark
Required Qualifications, Training, and Education
Experience with SQL, Python, and PySpark in data-intensive environments
Understanding of ETL concepts, Medallion Architecture, and data warehousing
Familiarity with infrastructure-as-code tools like Terraform
Experience with CI / CD workflows for data pipelines
Interest in cloud data platforms (AWS, Azure, or GCP)
Platform Developer • Abilene, Texas, United States