Reading, Berkshire, South East, United Kingdom Hybrid / WFH Options
Bowerford Associates
experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. The role comes with an extensive benefits package including a good pension, good holiday allowance, healthcare, bonus and more! Please note, to be considered for this More ❯
following architectural frameworks (TOGAF, ZACHMAN, FEAF) Cloud Experience: AWS or GCP preferred, particularly around migrations and cloud architecture Good technical knowledge and understanding of big data frameworks like Hadoop, Cloudera etc. Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience using languages such as Python & Bash etc. More ❯
/AWS/GCP. Experience with building distributed systems, using solutions such as Spark, Big Data Technologies would be preferred but not mandatory. Knowledge of Big Data querying tools (Cloudera stack or similar) e.g. Hive or Impala would be preferred but not mandatory. Experience working on parallel development tracks at the same time is required Experience in leading smaller development More ❯
end users or large data sets with 10M+ database records. This is a very Big Data platform. Experience building REST services (orchestration layer) on CRUD data services based on Cloudera Hadoop stack, with an emphasis on performance optimization. Understanding how to secure data in a REST architecture. Knowledge of scaling web applications, including load balancing, caching, indexing, normalization, etc. Proficiency More ❯
month Contract Company Introduction Job Responsibilities/Objectives In this role you will, assist in upgrading the Elastic DP estate to Kubernetes thereby moving away from Obsolete technology (Cloudera), uplifting to RHEL 8, contributing towards improving stability and observability of the platform and providing advanced analytics tooling and services for modelling analytics. Working across continuous integration, development, build and deployment More ❯
