would be an advantage Data visualization – Tools like Tableau Master data management (MDM) – Concepts and expertise in tools like Informatica & Talend MDM Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL 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 »
Charing Cross, England, United Kingdom Hybrid / WFH Options
BP Energy
Foundational data transformation and manipulation skills Experience with big data technologies and graph modelling (e.g. neo4j, Azure Digital Twin and other Azure data technologies, Hadoop, Hive, and Spark etc) is a plus Coding capability, SQL and scripting in R or python is a plus Why Join our team? At more »
learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or Hadoop a plus). Power BI, Dashboard design/development. Regulatory Awareness/Compliance Uphold Regulatory/Compliance requirements relevant to your role escalating areas 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 »
Sheffield, England, United Kingdom Hybrid / WFH Options
Undisclosed
of security principles and best practices for cloud-based solutions. Preferred Skills: Certification in cloud platforms. Experience with big data technologies such as ApacheHadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). HSBC experience is more »
know one or more of the following tools: Informatica PowerCenter, SAS Data Integration Studio, Microsoft SSIS, Ab Initio, etc. • Ideally, you have experience in Hadoop ecosystem (Spark, Kafka, HDFS, Hive, HBase, …), Docker and orchestration platform (Kubernetes, Openshift, AKS, GKE...), and noSQL Databases (MongoDB, Cassandra, Neo4j) • Any experience with cloud more »
through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various more »
Guildford, Surrey, South East, United Kingdom Hybrid / WFH Options
Allianz Insurance Plc
skills, with the ability to explain complex concepts to diverse audiences. Experience with Azure cloud platforms (Azure ML) Knowledge of big data technologies (e.g., Hadoop, Spark) is an advantage. Passion for continuous learning and staying updated with advancements in data science and analytics. Understanding of LLM's and Knowledge more »
of security principles and best practices for cloud-based solutions. Preferred Skills: Certification in cloud platforms. Experience with big data technologies such as ApacheHadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). HSBC experience is more »
automation & configuration management; Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; Big data processing and analysis, e.g. ApacheHadoop (CDH), Apache Spark; RedHat Enterprise Linux, CentOS, Debian or Ubuntu. Java 8, Spring framework (preferably Spring boot), AMQP RabbitMQ, Open source technologies; Experience of more »
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Experis
of security principles and best practices for cloud-based solutions. Preferred Skills : Certification in cloud platforms. Experience with big data technologies such as ApacheHadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). All profiles will more »
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 »
Bristol, England, United Kingdom Hybrid / WFH Options
Made Tech
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 »
Manchester, England, United Kingdom Hybrid / WFH Options
Made Tech
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 »
Better Placed Ltd - A Sunday Times Top 10 Employer in 2023!
data warehousing technologies (e.g., Redshift, Snowflake) Strong analytical and problem-solving skills Experience with cloud platforms (AWS, Azure, or GCP) and big data frameworks (Hadoop, Spark) is a plus Data Engineer – London 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 »
/Kotlin. Familiarity with Kotlin or willingness to learn. Industrial experience with AWS/GCP/Azure. Knowledge of common data products such as Hadoop, Spark, Airflow, PostgreSQL, S3, etc. Problem solving/troubleshooting skills and attention to detail. 👋 About Us High-quality data access and provisioning shouldn't more »
adaptive and responsive to the evolving nature of future job roles within technology. Data Analyst: Data Structures, Algorithms, Data Management, SQL, Big Data Analytics, Hadoop, Machine Learning, RPA, Neural Networks Software Engineer: Object Oriented Programming in Java, UX, DevOps, JavaScript, Mobile App design and development, Android Development Essential Training more »
capabilities such as GitHub, Jenkins and UrbanCode methodologies, demonstrating engineering excellence and a passion for automation Additionally, data domain technology experience including: Teradata, Oracle, Hadoop, DB2 and familiarity with NoSQL databases such as Cassandra and HBase Expertise in Cloud Native technologies including networking & security is a plus Understanding how 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 »
clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau 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 »
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 »
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 »
