best-of-breed Java toolsets - focused on MicroServices Architectures, powerful front- and backend frameworks, RESTful services, and everything from NoSQL databases like MongoDB and Hadoop, high-performance data grids like HazelCast to multi-node relational systems. You will be working in a Scrum Team of cross-functional skills in more »
and reports. 7. Knowledge of data integration techniques and tools (e.g., SSIS, Informatica) is desirable. 8. Experience in working with big data technologies (e.g., Hadoop, Spark) is a plus. 9. Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. 10. Strong more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
essential: -Proven experience as an Architect and excellent knowledge of Big Data -Great understanding of Cloud e.g. Azure and or AWS -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 »
Months Location - Hybrid ( 2 days a week) JD : Experience of working with Streaming & Batch technology stack – Confluent Kafka, Mongdb , Streamsets, IBM CDC, Hive, Hadoop, API, Informatica, Airflow, and other similar technologies SME level skills and experience of designing/architecting test automation solutions, ability to creatively problem solve is more »
The following skills/experience is essential: -Proven experience as a Lead Big Data Engineer with 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 »
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 »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
following skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellence experience across Azure -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 »
best of breed Java toolsets - focused on MicroServices Architectures, powerful front- and backend frameworks, RESTful services, and everything from NoSQL databases like MongoDB and Hadoop, high-performance data grids like HazelCast to multi-node relational systems. You will be working in a Scrum Team of cross-functional skills in more »
software engineer in a globally distributed team working with Scala, Java programming language (preferably both) Experience with big-data technologies Spark/Databricks and Hadoop/ADLS is a must Experience in any one of the cloud platform Azure (Preferred), AWS or Google Experience building data lakes and data more »
Birmingham, West Midlands (County), United Kingdom
Workday
the following platforms: MySQL or Cassandra. Experience of developing and deploying applications into AWS or a private cloud. Exposure to any of the following: Hadoop, JMS, Zookeeper, Spring, JavaScript, UI Development. Our Offer to You An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our more »
Platforms Must have 8 years' Experience with Relational Databases like Oracle NoSQL Databases and or Big Data technologies eg 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' experience more »
Must have 8+ years' Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (eg 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 »
Technical Discipline. Technical Expertise: Proficiency in SQL and experience with cloud-based data pipelines (Azure, AWS, GCP). Familiarity with big data tools like Hadoop and Spark. Data Management Skills: Hands-on experience working with large data sets, data pipelines, workflow management tools, and Azure cloud services. Exposure to more »
success in designing, building, and optimising Big Data solutions to support the creation of highly scalable data stores with Big Data technologies such as Hadoop, Spark, Kafka, etc. Project experience in developing optimal and reliable ETL processes ingested from a wide variety of data sources both structured and unstructured more »
Woking, Surrey, South East, United Kingdom Hybrid / WFH Options
In Technology Group Limited
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 »
As an IT Specialist, you'll need broad expertise across various areas of the technology/software domain. Proficiency in AWS or Big Data, Hadoop or other SQL databases, Lucene, Spark, web app development (JavaScript, Node.js), Docker, Jenkins, Git, Python, or Ruby would be highly beneficial. Key Responsibilities: Meet 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 »
Principal Data Engineer (SVP)- AI We’re searching for a Principal Data Engineer/Scientist with experience in generative AI to join a business that provides crucial services, often focusing on saving programs and businesses from the brink of collapse. more »
Woking, Surrey, United Kingdom Hybrid / WFH Options
CBSbutler Holdings Limited trading as CBSbutler
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 »
Romsey, Hampshire, United Kingdom Hybrid / WFH Options
CBSbutler Holdings Limited trading as CBSbutler
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 »
Cloud ML Engine , Azure Data Lake , Azure Databricks or GCP Cloud Dataproc . Familiarity with big data technologies and distributed computing frameworks, such as Hadoop, Spark, or Apache Flink. Experience scaling an “API-Ecosystem ”, designing, and implementing “API-First” integration patterns. Experience working with authentication and authorisation protocols/ 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 »
within a typical retail trading environment is key. Experience required: A background in leveraging hands on skills using tools such as Python, R, Spark, Hadoop, SQL and cloud based platforms such as GCP, Azure and AWS to manipulate and analyse various data sets in large volumes Background in data more »
