Kforce has a client in Saint Louis, MO that is seeking a Data Engineer.
Responsibilities The Data Engineer will architect and implement end-to-end data solutions on the Databricks Unity Catalog platform. This includes designing and building ETL/ELT pipelines that ingest data from diverse sources, transform it according to business requirements, and deliver it to downstream consumers. The role requires developing and optimizing Apache Spark jobs for processing large-scale datasets efficiently, implementing data quality frameworks to ensure accuracy and reliability, and influencing reusable frameworks and libraries to accelerate development across the team.
Collaboration is central to this position. The Data Engineer will work closely with product owners to understand requirements and deliver solutions that meet organizational needs. This includes translating business requirements into technical specifications, providing guidance on data architecture and best practices, and supporting analytics teams in accessing and utilizing data effectively. Technical excellence and operational sustainability are expected. The Data Engineer will optimize query performance and resource utilization to control costs, implement comprehensive monitoring and alerting systems, maintain thorough documentation of data pipelines and processes, and ensure adherence to security policies and compliance requirements. The role also involves participating in code reviews and promoting engineering best practices throughout the data organization.
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