Cloud Data Engineer
2 weeks ago
Job Title: Cloud Data Engineer (Databricks and GCP Focused)
Duration: long-term contract
Location: Hybrid (Leeds based)
Responsibilities:
- Design, deploy, and manage Databricks clusters on Google Cloud Platform (GCP), ensuring optimal performance, scalability, and reliability.
- Provide expertise in Databricks architecture, configuration, and administration, following best practices and industry standards.
- Collaborate with data engineering, data science, and analytics teams to understand their requirements and provide technical guidance and solutions.
- Optimize Databricks workloads and processes for performance, cost-efficiency, and scalability.
Requirements:
- Minimum of 5 years of experience as a Databricks Admin/Architect, with a strong focus on Google Cloud Platform (GCP).
- Extensive experience in designing, deploying, and managing Databricks clusters, notebooks, jobs, and libraries.
- Deep understanding of Databricks architecture, configuration, and performance optimization techniques.
- Strong knowledge of GCP services, including Compute Engine, BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
- Proficiency in scripting languages like Python or Scala for automation, terraform, and data engineering tasks.
- Experience with data engineering principles and tools, such as ETL, data pipelines, and data modeling.
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