Google Cloud Platform Data Engineer

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Title: Google Cloud Platform Data Engineer

Location: Salt Lake City, UT Onsite job

Experience: 10+ years only

Domain: Banking domain preferred

Actively migrate use cases from our on-premises Data Lake to Databricks on Google Cloud Platform

Collaborate with Product Management and business partners to understand case requirements and reporting

Adhere to internal development best practices/lifecycle (e.g. Testing, Code Reviews, CI/CD, Documentation)

Document and showcase feature designs/workflows

Participate in team meetings and discussions around product development

Stay up to date on industry, the latest trends and design patterns

Required qualifications to be successful in this role:

What You'll Bring

5+ years of development experience with Spark (PySpark), Python and SQL Extensive knowledge building data pipelines Hands on experience with Databricks Development Strong experience developing on Linux OS Experience with scheduling and orchestration (e.g. Databricks Workflows, airflow, prefect, control-m) Solid understanding of distributed systems, data structures, design principles Comfortable communicating with teams via showcases/demos Agile Development Methodologies (e.g. SAFe, Kanban, Scrum) Experience with Databricks Unity Catalogue Experience in developing metadata driven framework on Databricks Desired qualifications/non-essential skills: 3+ years experience with GIT 3+ years experience with CI/CD (e.g. Azure Pipelines) Experience with streaming technologies, such as Kafka and Spark Experience building applications on Docker and Kubernetes Cloud experience (e.g. Azure, Google Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Information Technology Industries

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