Chicago, Illinois, United States Hybrid / WFH Options
Request Technology - Robyn Honquest
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, ApacheHive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based more »
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, ApacheHive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and more »
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, ApacheHive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and 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 »
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 »
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 »
Manchester, England, United Kingdom Hybrid / WFH Options
Roku
Spark, Python and Java a lot) Can work with large scale computing frameworks, data analysis systems and modeling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Bachelors, Masters or PhD program in Computer Science/Statistics or a related field Ad-tech background is a plus #LI 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 »
it pertains to data storage and computing • Experience with data modeling, warehousing and building ETL pipelines • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR • Experience programming with at least one programming language such as C++, C#, Java, Python, Golang, PowerShell, Ruby • Experience with non-relational databases 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 »
experience in building DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) · Expertise in a BI solution like Power BI · Hands on experience in modelling databases (particularly nosql), working on indexes, materialized … with impressive visualization (Power BI) · Experience in building large scale DW/BI systems for B2B SAAS companies · Experience with open-source tools like Apache Flink and AWS tools like S3, Redshift, EMR and RDS. · Experience with AI/Machine Learning and Predictive Analytics · Experience in developing global products more »
distributed data design principles commonly used in Hadoop and a solid understanding of processing large datasets (including streaming data and unstructured data utilising HBase, Hive, Impala and Spark). You are experienced in modern engineering practices and technologies and Scrum/Kanban and SAFe delivery. You have a proven more »
maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or Cloud more »
