5 of 5 Apache Spark Jobs in West Yorkshire

explore new technologies, share knowledge, and contribute to a culture of excellence and innovation. Design & Build: Develop and optimise data pipelines using Databricks, Apache Spark, and Python. Develop & Deliver: Create scalable data solutions on AWS leveraging S3, Glue, Lambda, and related services. Integrate & Automate: Implement ETL processes … Hands-on commercial expertise with Databricks. You should have: Proven experience as a Data Engineer working with large, complex datasets. Hands-on expertise with Apache Spark, and SQL. Strong proficiency in Python (PySpark preferred). Experience with AWS cloud services including S3, Glue, Lambda, IAM. Familiarity with ...

highly desirable but strong Python/PySpark engineers who can learn Foundry quickly are encouraged to apply. Extensive experience with Python and PySpark/Apache Spark. Proven track record designing and delivering scalable data pipelines and data products. Strong SQL and data modelling skills. Experience with modern data architectures ...

Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules, and scalable cloud storage. ...

role combines L2/L3 production support and Data Engineering tasks. Databricks experience covering notebooks, scheduled jobs, cluster configuration, driver/executor logs, Spark UI + performance troubleshooting. Supporting + maintaining production data pipelines, including incident investigation, safe recovery, root cause analysis + permanent remediation. Experience of Spark ...

role combines L2/L3 production support and Data Engineering tasks. Databricks experience covering notebooks, scheduled jobs, cluster configuration, driver/executor logs, Spark UI + performance troubleshooting. Supporting + maintaining production data pipelines, including incident investigation, safe recovery, root cause analysis + permanent remediation. Experience of Spark ...