12 of 12 Apache Spark Jobs in Yorkshire

with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with ...

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. ...

years strong Foundry depth Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modelling, schema design, metadata management, and governance. Familiarity with ...

Stock Exchange. With 3,000 employees and 32 offices in 12 countries we’re a business with lots of opportunity for people with talent, spark and lots of ambition. If you want to build a great career with a company that prioritises strong values – such as integrity and courage ...

PowerShell) Hands-on SRE/DevOps and production support experience Desirable Skills Azure Databricks, Data Factory, or Data Lake Kafka, Event Hubs, or Spark Kubernetes Azure Monitor, Grafana, or Prometheus Cybersecurity experience, including SIEM/SOAR technologies Financial Services experience Ideal Candidate You will be a Software/Data ...

modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms ...

role you should have the following skills: Experience implementingdata processes for Data Warehouse and production systems. Strong experience withBig Data technologies(e.g.,Hadoop/Spark). Programming in modern languages (e.g.,ScalaandPython). Strong delivery engineering tooling:Git/GitHub,Jenkins,Ansible, andJIRAfor requirement/backlog management. Strong understanding ...

ingestion processes and solutions. Lead the execution of Microsoft Fabric migration activities. Lead and guide migration engineers and QA resources. Develop Python, PySpark and Spark SQL code for data validation and curation within notebooks. Create data integration test cases and support testing activities. Implement and amend data processing … PySpark, SQL and Python. Good knowledge of real-time streaming applications, preferably including Kafka, Azure Functions or Azure Service Bus. Strong understanding of Spark processing and performance tuning. Experience working with file formats and partitioning, including Parquet, JSON, XML and CSV. Experience with Azure DevOps/GitHub ...

needed). Skills and knowledge Demonstrable experience designing, deploying, and operating big data platforms at scale. Hands‐on experience with OSS data ecosystems (e.g., Spark, Trino, Airflow, Apache Superset, and similar technologies). Knowledge of cloud platforms and traditional on‐premise hosting; hands‐on experience with Azure ...

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 ...

Solution Architect (F) – Java/Spring Boot/GCP/Microservices/IAM Key Responsibilities: Design end-to-end architecture for cloud-native applications using Java, Spring Boot, and Microservices. Define architectural best practices, standards ...