16 of 16 Permanent Hadoop Jobs in the UK excluding London

Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices code reviews, testing ...

data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong ...

degree, or experience in a professional field or military - Experience as technical specialist in design and architecture - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in cloud based solution (AWS or equivalent), system, network and operating ...

Azure · Experience with multiple data storage types and technologies in data warehouse and data lake solutions. Examples include relational DBMS (e.g. Oracle), Hadoop, NoSQL (e.g. Hbase), Columnar DBs (e.g .Amazon Redshift), Graph DBs (e.g. Neo4J), cloud object storage (e.g. Amazon S3), cloud DB as a service (e.g. Amazon ...

with strong collaborator engagement skills. Preferred Experience Digital Twin, asset virtualization, or industrial data platforms Graph technologies (e.g., Neo4j), big data ecosystems (Spark, Hive, Hadoop) Databricks, Python, and modern analytics platforms Delivery of data products at enterprise scale Key Competencies Strategic product thinking with strong execution bias Deep technical ...

compliant solutions Working knowledge of DevOps tools and CI/CD processes Bonus Points For Development experience in Scala or Java Familiarity with Cloudera, Hadoop, HIVE, and Spark ecosystem Understanding of data privacy regulations, including GDPR, and experience working with sensitive data Ability to learn and adapt new technologies ...

problems using data mining techniques and with statistical rigor Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R. Excellent communication skills Strong skills in translating business problems into data problems Strong data visualization skills Strong ...

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Who You Will Be Working With ...

automation & configuration management; • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; • NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; • Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark; • RedHat Enterprise Linux, CentOS, Debian or Ubuntu. • Java 8, Spring framework (preferably Spring boot), AMQP - RabbitMQ, • Open source technologies; • Experience ...

automation & configuration management; • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; • NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; • Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark; • RedHat Enterprise Linux, CentOS, Debian or Ubuntu. • Java 8, Spring framework (preferably Spring boot), AMQP - RabbitMQ, • Open source technologies; • Experience ...

data warehousing, OLTP systems, data integration, and the software development lifecycle (SDLC). Hands-on experience with big data frameworks such as Spark, Hadoop, or Hive, including derivatives like PySpark (preferred), Spark Scala, or Spark SQL, along with familiarity with development-accelerating libraries and frameworks. Experience using data modelling … tools such as ERwin, ER/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

related field, or experience in a professional field or military - Experience as technical specialist in design and architecture - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in software development with object oriented language - Experience in cloud based solution (AWS or equivalent), system, network and operating system ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

data migrator product and contributing to a new orchestration platform. Cloud infrastructure across AWS S3, Google Cloud Storage, and Azure. Big data stores including Hadoop and Apache Ozone. Integration with Snowflake, Databricks, and AI tooling including Claude, Gemini, and Codex. Building AI-powered applications and workflows ...

About the Job you are considering: Results-driven Hadoop Spark Data Engineer with strong expertise in designing and implementing scalable big data solutions using Scala and Apache Spark. Experienced in working with the Hadoop ecosystem, including HDFS, Hive, and YARN, to process and analyze large datasets efficiently. Skilled … client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Design and develop Hadoop based applications and data pipelines. Build operate monitor and troubleshoot Hadoop clusters. Write scalable ETL processes using tools like Hive Pig and Spark. ...