7 of 7 Remote/Hybrid Hadoop Jobs in the UK

Java/Scala. Databases: Experience across Relational (SQL), NoSQL (MongoDB/Cassandra), and Graph (Neo4j). Big Data: Hands-on experience with Hadoop or Spark. Infrastructure: Comfortable with Linux/Bash, Docker, and Cloud IaaS/PaaS environments. Integrations: Familiarity with BI tools (PowerBI/Tableau) and integration platforms ...

Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway. Experience with big data technologies including Spark, Databricks, Hadoop, or Dask. Familiarity with data visualisation tooling such as Plotly. Experience mentoring junior engineers or leading technical initiatives. What You’ll Receive Base salary ...

DataWorks DevOps requires demonstrable experience of: AWS CI/CD deployment pipelines such as GitLab CI and Concourse Terraform Big data tooling such as Hadoop, Hive, Spark and ideally Amazon EMR or equivalent Strong Linux experience Kubernetes/EKS or other container services would also be helpful ...

About the Job you are considering: This role involves designing, building, and supporting large‐scale Big Data solutions using Hadoop and Spark technologies. You will primarily develop and debug Spark jobs in Scala, with opportunities to use Java and Python where appropriate. The position focuses on creating scalable data … 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 scalable data pipelines. Debug, develop, and optimize Spark jobs primarily using Scala. Build, operate, monitor, and troubleshoot Hadoop clusters. Develop ...

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 ...

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 ...

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 ...