51 to 75 of 109 Hadoop Jobs in the UK

with a statistical programming language (Python or R) and experience with libraries specifically for Machine Learning or Data Analytics as well as knowledge on Hadoop/MapReduce is a plus. Hands-on experience building and delivering large scale enterprise systems/products.Experience attracting, hiring and retaining top engineering talent.Experience more »

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 more »

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. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience in the healthcare sector is a plus 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 »

About the roleA Payments FinTech are currently seeking a Data Engineering Lead (Python, Hadoop & SQL) to lead and mentor a talented team of data engineers and scientists as they look to simplify the bank through developing innovative data driven solutions, allowing them to be commercially successful through insight, and more »

manage multiple tasks and projects simultaneously. Preferred Qualifications AWS Certified Solutions Architect or other relevant AWS certifications. Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts and tools. more »

ideas • Ability to set the direction and deliver on a vision with forward planning to achieve results • Technical knowledge of big data platforms (e.g., Hadoop and Hive) as well as knowledge of ML, Data science and advanced modelling techniques, technologies, and programming languages • Possess a high degree of self 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 »

Experience of Data Lake/Hadoop platform implementation Hands-on experience in implementation and performance tuning Hadoop/Spark implementations Experience Apache Hadoop and the Hadoop ecosystem Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, Hcatalog, Solr, Avro) Experience with one … or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto) Experience developing software code in one or more programming languages (Java, Python, etc.) Preferred Qualifications Masters or PhD in Computer Science, Physics, Engineering or Math Hands on experience leading large-scale global data warehousing and analytics projects Ability more »

Red Hat Decision Central Key Responsibilities: Manage operational procedures. Transform and process data using Apache Spark. Administer AWS RDS with MySQL. Work with the Hadoop platform. Create reports using Tableau. Utilize Red Hat Decision Central About Capgemini Capgemini is a global leader in partnering with companies to transform and more »

Founding Data Engineer Role update - this role is now contract only. And really a mix of data science and engineering... Central London 3 days a week, hybrid NB – we are looking for someone with specific experience around fintech, finance, banking more »

Experience or ability to demonstrate mentoring experience – jQuery, – Version control using git – Working knowledge of Linux – Experience with mobile applications would be beneficial – Currently Hadoop is used but not requiredThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The 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 »

Company Description Petrolink is a global independent and neutral wellsite data solutions company that provides services in major oil and gas regions worldwide. Our specialties include visualization, data analytics, and data interoperability. Our technologies and services drive down the cost 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 »

solutionsData engineering skills: Proficiency in designing, building, developing, and optimizing data pipelines, as well as experience with big data processing tools like Apache Spark, Hadoop, and DataflowExperience in designing & operating Operational Datastore/Data Lake/Data Warehouse platforms at scale with high-availabilityData integration: Familiarity with data integration 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 »

Hub, IOT Hub, Apache Kafka, Nifi for use with streaming data/event-based data Experience with other Open Source big data products eg Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational/NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured more »

looking for you to demonstrate include: Experience of data storage technologies: Delta Lake, Iceberg, Hudi Sound knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Knowledge of Architecture best practices and patterns Competence in evaluating and selecting development more »

computer science, Information Technology, or a related fieldExperience with containerisation and orchestration technologies (e.g., Docker, Kubernetes).Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark).Familiarity with other cloud platforms (e.g. AWS, Google Cloud) and PaaS providers (e.g. Snowflake)Knowledge of Inner or Open Source paradigm and way more »

computer science, Information Technology, or a related fieldExperience with containerisation and orchestration technologies (e.g., Docker, Kubernetes).Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark).Familiarity with other cloud platforms (e.g. AWS, Google Cloud) and PaaS providers (e.g. Snowflake)Knowledge of Inner or Open Source paradigm and way 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 »

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 »

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 »