8 of 8 Remote/Hybrid Permanent Hadoop Jobs

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 ...

work with modern, “shiny” tools and influence what we adopt next. Use workflow tools such as ADF/Airflow and big data technologies (Spark, Hadoop, Kafka) Private healthcare for you and your family Company pension scheme Flexible benefits (gym membership, tech, health assessments and more) Access to an online ...

solutions, network monitoring tools, and other cyber security tools Experience with scikit-learn, TensorFlow, or pytorch Experience with big data frameworks such as Hadoop, Spark, or Kafka Strong knowledge of statistics, probability, and exploratory data analysis Experience with threat intelligence vendors Ability to work on-site at least twice ...

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience ...

DevOps, automation, and CI/CD pipelines across multiple platforms. Strong background in virtualization, storage, networking, and database technologies (VMware, NetApp, Citrix, Oracle, SQL, Hadoop). Demonstrated leadership in project delivery, stakeholder management, and cross-functional collaboration. Excellent communication and presentation skills, with experience engaging C-level stakeholders ...

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 ...