your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of ApacheSpark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
RVU Co UK
most of the following: Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). More ❯
on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data governance, data quality, and data security principles. Experience working with BI tools and supporting More ❯
tools and alerting frameworks SQL experience including queries/updates/table creation/basic database maintenance Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation More ❯
and migrating a host of applications suites to a Kubernetes infrastructure environment. Requirements: Kubernetes implementation, Kubernetes-specific architecture, hands-on migration work, Kubernetes Security Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Desirable More ❯
