drjobs Azure Databricks Data Engineering Lead

Azure Databricks Data Engineering Lead

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1 Vacancy
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Job Location drjobs

Seattle - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Description

  • 7 years of experience in Databricks Microsoft Azure PySpark and Python.
  • Lead large-scale complex cross-functional projects to build the technical roadmap for the WFM Data Services platform.
  • Lead and review design artifacts.
  • Build and own the automation and monitoring frameworks that showcase reliable accurate easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality.
  • Execute proof of concept on new technology and tools to pick the best tools and solutions.
  • Support business objectives by collaborating with business partners to identify opportunities and drive resolution.
  • Communicate status and issues to Senior Starbucks leadership and stakeholders.
  • Direct project team and cross-functional teams on all technical aspects of the projects.
  • Lead with engineering team to build and support real-time highly available data data pipeline and technology capabilities.
  • Translate strategic requirements into business requirements to ensure solutions meet business needs.
  • Define and implement data retention policies and procedures.
  • Define and implement data governance policies and procedures.
  • Identify design and implement internal process improvements: automating manual processes optimizing data delivery re-designing infrastructure for greater scalability.
  • Enable team to pursue insights and applied breakthroughs while also driving the solutions to Starbucks scale.
  • Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of structured and unstructured data sources using big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive Product Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Perform root cause analysis to identify permanent resolutions to software or business process issues.

MUST HAVE:

  • 7 years of experience in Databricks Microsoft Azure PySpark and Python.

Employment Type

Full Time

Company Industry

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