12 of 12 Apache Hive Jobs in the UK excluding London

data-based insights, collaborating closely with stakeholders. Passionately discover hidden solutions in large datasets to enhance business outcomes. Design, develop, and maintain data processing pipelines using Cloudera technologies, including Apache Hadoop, Apache Spark, Apache Hive, and Python. Collaborate with data engineers and scientists to translate data requirements into technical specifications. Develop and maintain frameworks for efficient … verbal communication skills for effective team collaboration. Eagerness to learn and master new technologies and techniques. Experience with AutoSys is preferred. Experience with distributed data/computing tools: Hadoop, Hive, MySQL, etc. If you're a passionate Cloudera Developer eager to make a difference in the banking industry, we want to hear from you! Apply now to join our More ❯

technologies, Virtualisation Tools, Monitoring utilities, Disaster recovery process/tools Experience in troubleshooting and problem resolution Experience in System Integration Knowledge of the following: Hadoop, Flume, Sqoop, Map Reduce, Hive/Impala, Hbase, Kafka, Spark Streaming Experience of ETL tools incorporating Big Data Shell Scripting, Python Beneficial Skills: Understanding of: LAN, WAN, VPN and SD Networks Hardware and Cabling More ❯

development/product management environmenta Relevant experience within core java and spark Experience in systems analysis and programming of java applications Experience using big data technologies (e.g. Java Spark, hive, Hadoop) Ability to manage multiple/competing priorities and manage deadlines or unexpected changes in expectations or requirements Prior financial services/trade surveillance experience is desirable Strong analytical More ❯

expertise in Hadoop, Spark, and related technologies YOUR PROFILE Expertise on Hadoop, Spark & Scala Experience in developing complex data transformation workflows(ETL) using Big Data Technologies Good expertise on HIVE, Impala, HBase Hands on experience to finetune Spark jobs Experience with Java and distributed computing ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to More ❯

normalization, etc. Proficiency in Java/Spring web application development. Experience with Test Driven Development and Agile methodologies; Behavior Driven Development is a plus. Knowledge of Hadoop, Big Data, Hive, Pig, NoSQL is a plus, though most engineers with this background may have limited REST experience. Additional Information All your information will be kept confidential according to EEO guidelines. More ❯

performance management tools. Experience with one or more of the following data tools: Tableau, Foresight, GCP or SQL The other stuff we are looking for Shell scripting, Python, Spark, HIVE, NiFi, Hortonworks/Cloudera DataFlow, HDFS. What's in it for you Our goal is to celebrate our people, their lives and everything in-between. We aim to create More ❯

performance management tools. Experience with one or more of the following data tools: Tableau, Foresight, GCP or SQL The other stuff we are looking for Shell scripting, Python, Spark, HIVE, NiFi, Hortonworks/Cloudera DataFlow, HDFS. What's in it for you Our goal is to celebrate our people, their lives and everything in-between. We aim to create More ❯

performance management tools. Experience with one or more of the following data tools: Tableau, Foresight, GCP or SQL The other stuff we are looking for Shell scripting, Python, Spark, HIVE, NiFi, Hortonworks/Cloudera DataFlow, HDFS. What's in it for you Our goal is to celebrate our people, their lives and everything in-between. We aim to create More ❯

JIRA. Expertise in implementing statistical techniques in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus More ❯

and translating complex technical issues for non-technical audiences. Self-motivated and able to work independently. Preferred Qualifications: Background in investment banking or financial services. Hands-on experience with Hive, Impala, and the Spark ecosystem (e.g., HDFS, Apache Spark, Spark-SQL, UDFs, Sqoop). Proven experience building and optimizing big data pipelines, architectures, and data sets. More ❯

timely delivery. Essential Criteria 5+ years of experience in Technical Data Analysis. Proficiency in SQL, Python, and Spark. Experience within an investment banking or financial services environment. Exposure to Hive, Impala, and Spark ecosystem technologies (e.g. HDFS, Apache Spark, Spark-SQL, UDF, Sqoop). Experience building and optimizing Big Data pipelines, architectures, and data sets. Familiarity with Hadoop More ❯

Modelling : Physical, logical, conceptual models; data flow diagrams; ontologies; UML/Visio/Sparx Data Standards : Technical specs, code assurance, championing interoperability Metadata Management : Data catalogues, repositories; tools like Apache Atlas, Hive Metastore, AWS Glue/Datazone Data Design : Data lakes, warehouses, lakehouses, pipelines, meshes, marketplaces If you're passionate about shaping data strategy and architecture in a More ❯