Data Pipeline Developer
The following are the duties of this position at the full working level. If this vacancy includes more than one grade and you are selected at a lower grade level, you will have the opportunity to learn to perform these duties and receive training to help you grow in this position.
Designs, develops, and maintains high-performance streaming, batch, and realtime data pipelines using PySpark and Delta Live Tables on Databricks. Integrates structured, semi-structured, and unstructured data sources into the enterprise data lake.
Identifies, designs, and implements process improvements, including infrastructure redesign for scalability, data delivery optimization, and automation of manual workflows.
Integrates Databricks with cloud services (AWS, Azure, GCP) for storage, compute, and security. Utilizes technologies such as Python, SQL, Spark, and AWS S3 to build infrastructure for efficient data extraction, transformation, and loading.
Develops and manages ETL/ELT workflows to ensure data quality, reliability, and adherence to Federal guidelines. Contributes to transitioning legacy data systems into modern cloud-native platforms like AWS and Azure.
Creates analytical tools to leverage data pipelines, delivering actionable insights into business performance metrics such as operational efficiency and customer acquisition.
Information Technology Specialist (DATAMGT) • Fresno, CA, United States
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