3 of 3 PySpark Jobs in the Thames Valley

data-driven decisions, while learning from experienced team members and developing your technical and business skills. Key Responsibilities: Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets. Familiarity with Palantir Foundry, PySpark, Kafka, TypeScript, PowerBI preferable. … years of experience building data pipelines at work or through internships is helpful. You can write clear and reliable Python/PySpark code. You are familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud ...

responsible for: Designing end-to-end data architecture aligned with modern best practices. Building and managing ingestion pipelines using Databricks and related tools. Developing PySpark/Spark SQL notebooks for complex transformations and cleansing. Applying governance, security, and CI/CD best practices across cloud environments. Leading technical discussions … producing professional documentation. To be successful in this role, you will have: Hands-on experience with Databricks including Unity Catalog. Strong PySpark/Spark SQL skills for large-scale transformations. Experience integrating with diverse data sources such as APIs, cloud storage and databases. Experience with the Azure cloud data ...

responsible for: Designing end-to-end data architecture aligned with modern best practices. Building and managing ingestion pipelines using Databricks and related tools. Developing PySpark/Spark SQL notebooks for complex transformations and cleansing. Applying governance, security, and CI/CD best practices across cloud environments. Leading technical discussions … producing professional documentation. To be successful in this role, you will have: Hands-on experience with Databricks including Unity Catalog. Strong PySpark/Spark SQL skills for large-scale transformations. Experience integrating with diverse data sources such as APIs, cloud storage and databases. Experience with the Azure cloud data ...