15 of 15 Hadoop Jobs in 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 ...

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 ...

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 ...

cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

ability to think critically and analytically. Strong experience in documentation and data dictionaries. Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark. Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders. ...

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 ...

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 ...

Analytics. Strong SQL and Python skills. Experience with data modeling, ETL processes, and data warehousing. Knowledge of big data technologies such as Spark and Hadoop is a plus. Package: Generous Bonus Scheme, 14% Pension, Flexible hours, Training Fund, Life Assurance, Private Medical Insurance, Volunteering, Electric Car Scheme.. Working ...

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 ...

large-scale distributed data platforms and managing complex multi-threaded environments. Enterprise Data Infrastructure: Proficient in navigating and optimizing complex data ecosystems utilizing Oracle, Hadoop, and Elasticsearch. Industry Context: Experience within Capital Markets, FinTech, or adjacent high-scale industries (e.g., Telecoms, Big Tech) managing transactional data at scale. Desirable ...

New Permanent Opportunity for an eDV Cleared Data Engineer with AWS Cloud Experience for a leading National Security Consultancy in London. Up to £85,000 DoE plus bonuses Active eDV required London Location – full-time ...

mission-critical platform, driving architecture, performance optimisation, automation, and engineering best practice. Strong Java and distributed systems experience required. Exposure to AI, LLMs, Hadoop, Elasticsearch or Oracle would be advantageous. ...

large enterprise environments Ability to lead technical delivery and provide platform best practice guidance Client-Specific Experience Experience configuring, testing, and troubleshooting SAS/Hadoop connectivity and performance issues Experience supporting Hadoop upgrade impacts on SAS platforms and processes Apply If you are an experienced SAS professional looking ...