13 Hadoop Jobs in the South East

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 »

governance (Unity Catalogue), security and access design on Cloud technologies (AWS, GCP, Azure).Experience with design and implementation in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions.Experience with Data Acquisition, Integration & Transformation solutions leveraging Batch, Micro-batch, CDC and Event more »

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 »

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 »

Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two more »

Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two more »

IaaS, DaaS, IaaC); Experienced with wide range of hardware and software development environments, including Microsoft, JAVA, J2EE, SOA, WS - (SOAP/REST/MICSROSERVICES), HADOOP ecosystem, Linux, RDBMS, NOSQL, ECOMMERCE, MOBILE, AWS, Docker (Swarm, Kubernetes), Elastic Search, MongoDB, Redis master/slave/sentinel, CI/CD pipeline using 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 »

frameworks e.g. TOGAFSignificant technical knowledge of a range of Data technologies. including data warehousing, data analysis, data integration, database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Teradata)Understanding of the system and software development lifecycles lifecycle (including methodologies e.g. Agile) and associated reviews, policies, standards and governance processesDeveloping reference architecture more »

Are you passionate about exploring the intricate nuances hidden within vast datasets, using your expertise to uncover valuable insights that drive strategic decision-making and fuel business growth? Do you thrive in a high volume data-oriented environment, where every 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 »

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 »