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 ❯
Design and Maintenance, Apps, Hive Metastore Management, Network Management, Delta Sharing, Dashboards, and Alerts. Proven experience working with big data technologies, i.e., Databricks and Apache Spark. Proven experience working with Azure data platform services, including Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such … experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage, Quality More ❯
southampton, south east england, United Kingdom Hybrid / WFH Options
Algo Capital Group
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 ❯