26 to 50 of 100 Permanent Hadoop Jobs in England

Must have 8+ years’ Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) Must have 3+ years more »

practices, and share knowledge with the team.QualificationsYou will have expertise within the following:Java and Python development knowledge (Essential)Previous experience with Spark or Hadoop(Essential)Trino orAirflow(Desirable)Architecture and capabilities.Designing and implementing complex solutions with a focus on scalability and security.Excellent communication and collaboration skills.Additional InformationLocation: This more »

share knowledge with the team. Qualifications You will have expertise within the following: Java and Python development knowledge (Essential) Previous experience with Spark or Hadoop (Essential) Trino orAirflow (Desirable) Architecture and capabilities. Designing and implementing complex solutions with a focus on scalability and security. Excellent communication and collaboration skills. more »

the following: Relational databases/data warehousing (e.g Oracle, DB2, SQL Server, Sybase, Snowflake) Document databases (e.g. Mongo, ArangoDB, Couchbase, Solr) Big Data (e.g. Hadoop ecosystem, Bigtable) Data streaming (e.g. Kafka, Flink, Pulsar, Beam, Spark) Cloud databases (e.g. Snowflake, CockroachDB) Other database genres (e.g. Graph, Columnar, time series) In more »

the following: Relational databases/data warehousing (e.g Oracle, DB2, SQL Server, Sybase, Snowflake) Document databases (e.g. Mongo, ArangoDB, Couchbase, Solr) Big Data (e.g. Hadoop ecosystem, Bigtable) Data streaming (e.g. Kafka, Flink, Pulsar, Beam, Spark) Cloud databases (e.g. Snowflake, CockroachDB) Other database genres (e.g. Graph, Columnar, time series) In more »

scalability, and extensibility. The following skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »

DynamoDB/etc.) Solid understanding of data governance principles and how to implement these across the business Knowledge of Big Data technology (Spark/Hadoop/etc.) Excellent communication skills across various levels of stakeholders Benefits: Salary available £120,000 Bonus scheme Enhanced pension contribution available Genuine opportunity to more »

with • SAS code techniques • SQL code techniques Ideally working knowledge of: • credit card billing • credit card risk basics • credit card ECM • credit card underwriting Hadoop code techniques more »

Job Description Leading ecommerce client are now searching for a Senior Data Engineer to contribute towards the delivery of their data strategy. This engineer will shape our client’s data function, delivering end to end solutions for an array of 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 »

ETL processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. 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 »

one leading business intelligence platform (e.g. Microsoft, Crystal, Qlik, SAP, Tableau). Good understanding of open source, big data, and cloud data platforms (e.g. Hadoop, Spark, Hive, Pentaho, AWS, Azure); given a business problem, you can analyse and evaluate options and recommend solutions. Proven experience in designing, building and more »

Must have 8+ years' Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) Must have 3+ years more »

limited to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency more »

on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate more »

share knowledge with the team. Qualifications You will have expertise within the following: Java and Python development knowledge (Essential) Previous experience with Spark or Hadoop (Essential) Trino orAirflow (Desirable) Architecture and capabilities. Designing and implementing complex solutions with a focus on scalability and security. Excellent communication and collaboration skills. more »

share knowledge with the team. Qualifications You will have expertise within the following: Java and Python development knowledge (Essential) Previous experience with Spark or Hadoop (Essential) Trino orAirflow (Desirable) Architecture and capabilities. Designing and implementing complex solutions with a focus on scalability and security. Excellent communication and collaboration skills. more »

share knowledge with the team. Qualifications You will have expertise within the following: Java and Python development knowledge (Essential) Previous experience with Spark or Hadoop (Essential) Trino orAirflow (Desirable) Architecture and capabilities. Designing and implementing complex solutions with a focus on scalability and security. Excellent communication and collaboration skills. more »

with • SAS code techniques • SQL code techniques Ideally working knowledge of: • credit card billing • credit card risk basics • credit card ECM • credit card underwriting Hadoop code techniques more »

Leading ecommerce client are now searching for a Senior Data Engineer to contribute towards the delivery of their data strategy. This engineer will shape our client’s data function, delivering end to end solutions for an array of customer data more »

Director of Data & AI London based We are searching for a Director of Data and Artificial Intelligence- someone with hands on experience designing AI solutions to solve complex business problems. Your new role is a leadership position at a business more »

.Strong knowledge of security principles and best practices for cloud-based solutions.Preferred Skills:Certification in cloud platforms.Experience with big data technologies such as Apache Hadoop, Spark, or Kafka.Knowledge of data governance and compliance frameworks.Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform).HSBC experience is a plusPlease note more »

tools, including but not limited to:Backend technology, Python.Databases like MSSQL.Front-end technology, Java.Cloud platform, AWS.Programming language, JavaScript (React.js)Big data technologies such as Hadoop, Spark, or Kafka.What We Need from You:Essential Skills:A degree in Computer Science, Engineering, or a related field, or equivalent experience.Proficiency in Python more »

Azure SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be more »