13 of 13 Apache Spark Jobs in Yorkshire

including supporting automated deployments, infrastructure management, monitoring, and scaling Coaching and mentoring junior engineers and promoting engineering best practices Understanding of data processing using Apache Spark and Apache Airflow for task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs ...

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 ...

agreed scope, acting as the key point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse ...

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. ...

equivalent apprenticeship/work experience in a subject such as Mathematics, Statistics, Computer Science, or Geography DESIRABLE Exposure to Big Data Analytics (BigQuery, Apache Spark), Parallel Computing (Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Graph Computing, or Microservices Relevant industry sector knowledge across retail, property ...

reliable data processing in a structured migration environment. Hands‐on experience building and operating data pipelines on Azure, AWS or Google Cloud. Experience with Spark, PySpark, Databricks or comparable distributed processing technologies. Experience building modular, tested and documented transformations using dbt or an equivalent approach. Strong SQL and Python ...

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 ...

reliable data processing in a structured migration environment. Hands-on experience building and operating data pipelines on Azure, AWS or Google Cloud. Experience with Spark, PySpark, Databricks or comparable distributed processing technologies. Experience building modular, tested and documented transformations using dbt or an equivalent approach. Strong SQL and Python ...

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 ...

support comprehensive data analysis and reporting. Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, UnityCatalog, and Apache Atlas tomaintaindata integrity and trust. Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining and optimising data … ease. Understanding of Data Lakehouse Architecture:You have a strong grasp of the principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions:Youpossessexperience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or evenon-premiseSpark clusters, usingPySparkor Spark SQL to manage ...

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. ...

demonstrable experience of working in rapidly changing client environments. Needs to be a practitioner and proponent of Agile and Dev Ops Proficiency in Hadoop, Spark, Scala, Python, or a programming language associated with data engineering Expertise in building and deploying production level data solutions maintained by application support teams ...

deploying scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability …/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...