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 »
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 »
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 »
enhanced performance and scalability. Requirements: Professional Experience: At least four years of relevant data engineering experience. Technical Proficiency: Strong familiarity with Azure Databricks, Spark, Hive, Python, and SQL. Knowledge of Azure cloud services such as Data Factory and Storage accounts is highly regarded. Data System Mastery: Proven ability to 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 »
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 MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing 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 »
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 »
SQL Data Warehouse, Azure Data Lake, Azure Databricks Azure Cosmos DB, Azure Data Factory, Azure Search, Azure Stream Analytics Delta Lake and Data Lakes Apache Spark Pools, SQL Pools (dpools and spools) Experience in Python, C# coding, Spark, PySpark, Unix shell/Perl scripting experience Experience in API data … as part of high-volume data ingestion and transformation pipelines Data Governance, Data Quality, MDM, Lineage, Data Catalog etc Development experience using Presto/Hive, Digdag, YAML About Clarion Events Clarion Events is one of the world's leading event organisers, producing and delivering innovative and market-leading events more »
SQL Data Warehouse, Azure Data Lake, Azure Databricks Azure Cosmos DB, Azure Data Factory, Azure Search, Azure Stream Analytics Delta Lake and Data Lakes Apache Spark Pools, SQL Pools (dpools and spools) Experience in Python, C# coding, Spark, PySpark, Unix shell/Perl scripting experience. Experience in API data … as part of high-volume data ingestion and transformation pipelines. Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Development experience using Presto/Hive, Digdag, YAML. About Clarion Events Clarion Events is one of the world’s leading event organisers, producing and delivering innovative and market-leading events more »
