Cheltenham, Gloucestershire, United Kingdom Hybrid / WFH Options
Third Nexus Group Limited
and product development, encompassing experience in both stream and batch processing. · Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or familiarity with: · Scripting and data extraction via APIs, along with composing SQL queries. · Integrating data more »
approach • Integration with 3rd party sources, open-source APIs • Data movement in both batch and real-time change data capture • Leverage Big Data technologies (Spark) to ingest, clean & transform data • Apply Machine Learning on DWH to proactively figure out issues and generate insights • Create dashboards in Oracle Analytics Cloud more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
develop, and 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 … technologies, languages, and techniques in the rapidly evolving world of high-volume data processing. Technologies We Use: Development languages/frameworks : Java/Scala, ApacheSpark, Kafka, Vertica, JavaScript (React/Redux), MicroStrategy Amazon : EMR, Step Functions, SQS, LaMDA and AWS cloud-native architectures DevOps Tools : Terraform or … Cloud Formation, NewRelic, Jenkins, Grafana, PagerDuty, GitHub, GitHub Actions Database : MySQL, Vertica, DynamoDB Stream Processing : Kafka, Spark Streaming, Kinesis What We Look For: Ability to work within a dynamic team committed to excellence. Leader as team contributor to active discussion, meetings. Solid listening skills, ability to be flexible and more »
run on AWS and soon Azure, with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed … PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod. TECH STACK: Python, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines … both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic more »
