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 »
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 »
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 »
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 »
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 »
Expertise in machine learning tools and packages like Scikit-learn, SciPy, Tensorflow, Keras, etc. Expertise with large-scale distributed data processing systems such as Hive, Hadoop, Spark, etc. Strong SQL skills and experience with data manipulation tools like Pandas, Numpy, etc. Familiarity with different Transformer based architectures and their more »
