S

Starbucks

Runs coffeehouses and licenses its coffee brand

Data Engineer Lead - Engineering

Data EngineeringConfirmed live in the last 24 hours
Full-timeNashville, TN, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science, management information systems, or a related discipline.
  • At least 2 years of professional industry experience with software development.
  • At least 5–7 years of experience architecting and designing large-scale, high-performance distributed systems.
  • At least 5–7 years of SQL platform experience.
  • At least 5 years of experience with Hadoop, YARN, MapReduce, Pig or Hive, and Spark.
  • At least 2 years of experience with CI/CD.
  • At least 2 years of exposure to SOA architecture.
  • Ability to apply multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities.
  • Working knowledge of Java, Scala, or C#.
  • Working knowledge of SQL and NoSQL platforms.
  • Proficiency in debugging, troubleshooting, performance tuning, and relevant tooling.
  • Demonstrated ability to productionalize at least two big data implementations.
  • Experience using a public cloud for data applications.
  • Proficiency in shell scripting.
  • Understanding of data design patterns and best practices.
  • Proficiency in CI/CD tools.
  • Proficiency in logging and monitoring tools, patterns, and implementations.
  • Understanding of enterprise security, REST and SOAP services, and best practices for enterprise deployments.
  • Ability and desire to mentor others in a team environment.
  • Ability and desire to lead others in a team environment.

Responsibilities

  • Build enterprise data services for analytic solutions.
  • Design, develop, test, and support data pipelines for continuous data processing, data exploration, data preparation, and real-time business analytics.
  • Lead others on the data engineering team in building and supporting batch, distributed, and real-time highly available data, data pipeline, and technology capabilities.
  • Translate strategic requirements into business requirements to ensure solutions meet business needs.
  • Use infrastructure provisioning and configuration tools to develop scripts that automate deployment of physical and virtual environments and tools to monitor virtual resource usage.
  • Assist in defining architecture to ensure solutions are built within a consistent framework.
  • Lead resolution activities for complex data issues.
  • Define and implement data retention policies and procedures.
  • Define and implement data governance policies and procedures.
  • Identify improvements to team coding standards and help implement them.
  • Coordinate issue resolution across peer support groups, technical support teams, and vendors using subject matter expertise.
  • Develop and maintain documentation for assigned systems and projects.
  • Perform systems and applications performance characterization and trade-off studies through analysis and simulation.
  • Perform root cause analysis to identify permanent resolutions to software or business process issues.
  • Practice and promote an agile and DevOps culture.

Desired Qualifications

  • At least 2 years of exposure to a NoSQL platform.
  • At least 2 years of experience implementing data platforms on Azure or AWS.
  • AWS or Azure experience for data applications is preferred.
  • Working knowledge of data visualization tools such as Tableau.

About the Company

Starbucks

Runs coffeehouses and licenses its coffee brand

Starbucks runs coffeehouses around the world that serve espresso drinks, brewed coffee, tea, and food, and it roasts the arabica coffee its stores sell. It grew from a single Seattle shop selling beans into the world's largest coffeehouse chain, and it helped make Italian-style espresso drinks such as lattes an everyday habit in the United States. Customers order at the counter, at drive-throughs, or ahead through the Starbucks app, whose rewards program trades points for free drinks and food. The company earns money from cafés it operates itself and from fees paid by licensed stores in places such as airports and grocery stores. Starbucks was founded in 1971 and is based in Seattle.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1971

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