1 to 25 of 40 Hadoop Jobs in the UK with Remote Work Options

a Global Relay DevOps engineer you will be integrated with a software engineering team to develop on premise ('on-prem') solutions including working with Hadoop based technologies. Your role will involve designing, implementing and supporting automated, scalable solutions. Your contribution will have an immediate impact of enabling efficient delivery … them from reoccurring. Deployments: Writing and running deployment automation tools using helm, ansible, or other configuration management systems Platform Integration: With technologies such as Hadoop and Kubernetes Some of the technologies that you will interact with include: Containerisation and virtualisation: Docker, Kubernetes, VMWare Operating Systems: Linux Build and deployment … Jenkins, Bitbucket, Maven, Helm Instrumentation and monitoring: Loki, Prometheus, Grafana, Mimir Languages and frameworks: Bash, Java, Groovy, Go, Python Big data technologies: Cassandra, ArangoDB, Hadoop, Kafka, MongoDB, Ceph Where you have knowledge gaps, training and mentoring will be provided. About You: You have an automation-first mindset. You enjoy more »

such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem-solving skills and the ability to think critically and creatively. Excellent analytical skills more »

or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience more »

models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »

solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data more »

TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus. Proficient in SQL and experience with relational databases. Strong analytical and problem-solving skills, with a keen attention to detail. Knowledge more »

ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have:Familiarity with Git or other Version Control SystemsComputer Vision Library exposureUnderstanding of Big Data Technologies (Hadoop, Spark etc)Experience with Cloud platforms (AWS, GCP or Azure)This is a fully remote role, but may require very occasional travel (once a more »

and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa 10% per annum • DV Bonus: Circa £5,000 • Flex Fund: £5000 • Health: Private more »

scaling, and troubleshooting of cloud systems.- Operational experience running a 24x7 production infrastructure at scale.- Proficiency working with data structures, schemas, and technologies like Hadoop, Hive, Redis, and MySQL- Experience in using cloud-native services like GKE, EKS, AWS/GCP load balancing, AWS/GCP cloud storage platforms more »

following:* · .NET (VB, C#, ASP.NET, .NET CORE) · MVC Framework · Python · JavaScript (REACT, Bootstrap Frameworks) · Database design · SQL/SQL Server · NoSQL technologies e.g., MongoDB, Hadoop, etc. If you’re the right person for the role, you’ll bring experience of working on a range of applications across the development more »

warehousing. Min 7yrs with Python Big Data & Data lake solutions; PostgreSQL, Clickhouse or SnowFlake etc Cloud Infrasutcurre (AWS services) Data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper Hands-on team leadership The Reward Joining a fast-growth, successful blockchain business. The role offers fully remote work, a more »

e.g., PostgreSQL), NoSQL databases (e.g., MongoDB), and implement data streaming solutions (e.g., Kafka) for efficient data handling. Work with big data technologies such as Hadoop to manage and analyse large datasets. Implement security best practices and ensure compliance with cybersecurity standards. Collaborate with development teams to integrate security practices … Familiarity with SQL and database management systems, including relational and NoSQL databases. Knowledge of data streaming technologies (e.g., Kafka) and big data platforms (e.g., Hadoop). Understanding of cybersecurity principles and best practices. Familiarity with architectural styles and experience in implementing DevSecOps practices. Excellent problem-solving skills and attention more »

Experience with cloud technologies i.e. AWS or Azure Programming language experience i.e. Java, Python, node.js or SQL Data technologies experience i.e. PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (url removed more »

Experience with cloud technologies i.e. AWS or Azure Programming language experience i.e. Java, Python, node.js or SQL Data technologies experience i.e. PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (url removed more »

Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional skills: Client more »

of technology to automate data pipelines and build analytical warehouses· Deep understanding of cloud-based data platforms (Azure SQL DB, Azure Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of more »

of technology to automate data pipelines and build analytical warehouses· Deep understanding of cloud-based data platforms (Azure SQL DB, Azure Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of more »

data warehousing and ETL frameworks Proficiency in working with relational databases (e.g., Oracle, PostgreSQL), Parquet/Delta files and big data technologies (e.g. Synapse, Hadoop, Spark, Kafka) Knowledge of Microsoft Azure and associated data services is a good to have. Strong analytical and data interpretation skills, with the ability more »

e.g., PostgreSQL), NoSQL databases (e.g., MongoDB), and implement data streaming solutions (e.g., Kafka) for efficient data handling. Work with big data technologies such as Hadoop to manage and analyse large datasets. Qualifications : Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). Experience with cloud more »

Testing performance with JMeter or similar toolsWeb services technology such as REST, JSON or ThriftTesting web applications with Selenium WebDriverBig data technology such as Hadoop, MongoDB, Kafka or SQLNetwork principles and protocols such as HTTP, TLS and TCPContinuous integration systems such as Jenkins or BambooContinuous delivery concepts#LI-HybridWhat you more »

Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science, Engineering … and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) This is a permanent position, and offers flexibility with Hybrid working, 2-3 days per week in the office, depending on workload more »

responsibilities will include building microservices, using Docker and Kubernetes and 3rd party API integrations. You will also be working with big data technologies like Hadoop, Kafka and Cassandra.This Senior Java Engineer (Multithreading) role will be a strong fit if you:Have extensive Core Java, multihreading, low-latency, concurrency experienceEnjoy … working with big data technologies like Hadoop (or if you are keen to learn!)Have messaging experience with Kafka, RabbitMQ or MongoDBAs the Senior Java Engineer, you will be a strong advocate for modern development ways of working including pair programming, Agile and BDD/TDD. This company (during more »

requirements into system functional and non-functional requirements Experience with popular database programming languages including SQL, PL/SQL, possibly extending to NoSQL/Hadoop oriented, and nonrelational databases. In your supporting statement, it is important that you address how you meet each of the above criteria providing real more »

/ELT tools.Experience with NoSQL type environments, Data Lakes, Lake-Houses (Cassandra, MongoDB or Neptune).Experience with distributed storage, processing engines such as Apache Hadoop and Apache Spark.Experience with message brokering/stream processing services such as Apache Kafka, Confluent, Azure Stream Analytics.Experience in Test Driven Development (TDD) and more »

how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on a more »