9 of 9 Hadoop Jobs in London

event ingestion. Cloud Storage: For scalable and durable object storage. Cloud Composer (Apache Airflow): For workflow orchestration and pipeline management. Cloud Dataproc: For managed Hadoop and Spark clusters (good to have). Cloud SQL/Cloud Spanner/Cloud Bigtable: Experience with relational and NoSQL databases. Strong proficiency ...

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative ...

support and migration experience Desirable knowledge and experience: AWS accreditation Knowledge of COTS products (including but not limited to; Elasticsearch, NiFi, Rabbit, Kafka, MongoDB, Hadoop, Ansible, Git and Kubernetes) Development of dashboards for monitoring and alerting through Grafana, Splunk, Prometheus and OpenText Om and Ops Bridge On prem ...

Head of Architecture & Engineering page is loaded## Head of Architecture & Engineeringlocations: Londontime type: Full timeposted on: Posted 3 Days Agojob requisition id: JR110**The Role**We are seeking a dynamic and adaptable hands-on leader ...

Ensuringdataquality,reliability,andoperationalexcellence Leadingthedesignanddeliveryofnewdataproductsandpipelines Collaboratingcloselywithstakeholdersandtechnicalteams Providingtechnicalleadershipandmentoringwithindeliveryteams Whattherelookingfor: Strongexperienceindataengineeringroles Provenleadershiporlinemanagementexperience Hands-onexperiencewithcloudplatforms(AWSorAzure;GCPbeneficial) StrongSQLskillsandexperiencewithrelationaldatabases Pythondevelopmentexperienceandfamiliaritywithframeworks(e.g.Flask,Django) ExperiencebuildingandorchestratingETLpipelines(e.g.Airflow,Luigi,Argo) Exposuretobigdatatechnologies(e.g.Spark,Kafka,Hadoop) ExperienceworkinginAgileenvironments Solidunderstandingofdataarchitectureanddataqualitybestpractices ...

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 ...

Experience designing and building on-prem data platforms, from high-level architecture to detailed technical design. Strong Spark development experience. Hands-on experience with Hadoop - configuring multi-node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka … Hadoop ecosystem tools. Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such as MongoDB. Proven delivery of streaming pipelines and real-time data processing solutions. Delivered streaming pipelines and real-time data processing solutions. What you'll get in return Flexible working options ...

Hiring: Big Data Developer (Scala/Hadoop) Location: United Kingdom Employment Type: Full-Time Experience: 2–5 Years Salary: £35,000 – £45,000 per year We are looking for an experienced Big Data Developer to join a dynamic team working on cutting-edge data-driven solutions in the financial … with strong Scala development experience and a passion for building scalable Big Data applications. Key Responsibilities Design, develop, and maintain applications using Scala, Python, Hadoop, and Java Work with Big Data technologies such as Apache Spark and Hive (nice to have) Build scalable and high-performance data processing solutions ...

Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation of Production … Systems Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing Automation-Focused Code ...