and troubleshooting of cloud systems.- Operational experience running a 24x7 production infrastructure at scale.- Proficiency working with data structures, schemas, and technologies like Hadoop, Hive, Redis, and MySQL- Experience in using cloud-native services like GKE, EKS, AWS/GCP load balancing, AWS/GCP cloud storage platforms (S3 more »
technical environment and/or comparable experienceSignifannt years of proven experience in Java, REST APIs, Spring Boot Framework, ReactJS, Redis, OpenShift, Elastic Stack, Kafka, Hive, Spark, UNIX/Linux and Oracle DBExperience with a statistical programming language (Python or R) and experience with libraries specifically for Machine Learning or more »
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, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB more »
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 platforms such as AWS, Azure more »
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 strong knowledge of database technologies such as more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
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 strong knowledge of database technologies such as more »
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 strong knowledge of database technologies such as more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
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 strong knowledge of database technologies such as more »
databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR, Snowflake, and Data Mesh principles • Team player • Proactive and resilient • A passion for social good Our Mission Statement: We are an equal more »
and tooling used across the engineering teamRequirements:5-7 years of Java experienceCapital markets Front office experienceExperience working with Data lake (Hadoop) consumption, specifically Hive experienceKafka experienceRules engine experience (Ideally open source/vendor products, e.g. Drools or Camunda)Unix scripting knowledgeMarkets Regulatory/Trade control knowledgeAutomation experienceCloud experienceContainerisation more »
Data Engineer 6 Month Contract Inside IR35 £450/day Hiring Immediately Job Description (Apache Iceberg, Spark, Big Data) Job Details Overview: Overall IT experience of 5+ years of total experience with strong programming skills Excellent skill in Apache Iceberg, Spark, Big Data 3+ years of Big Data … project development experience Hands on experience in working areas like Apache Iceberg & Spark, Hadoop, Hive Must have knowledge in any Database Ex: Postgres, Oracle, MongoDB Excellent in SDLC Processes and DevOps knowledge (Jira, Jenkins pipeline) Working in Agile POD and with team collaboration Ability to participate in deep more »
Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics more »
