Job Information
Starbucks Coffee Company Data Engineer Lead in Seattle, Washington
Data Engineer Lead:
- Lead data engineering team to build and support batch, real time big data pipeline and technology capabilities on Microsoft Azure and Databricks.
- Assist in the definition of solution architecture that ensures solutions are built within consistent frameworks.
- Support Data science/analytical workloads in data preparation, feature extraction by reshaping, wrangling and blending enterprise data sets and ad hoc data sets into data assets that support exploratory data science.
- Perform required data validation.
- Operationalize Machine Learning models in Batch and Real Time Data Pipelines to create scalable analytical applications.
- Lead resolution activities for complex data issues.
Telecommuting permitted up to 40% per week.
Full time employment, Monday -- Friday, 40 hours per week. Pay Range: $185,640 - $217,500 per year.
From free coffee to competitive pay, Starbucks is proud to offer a comprehensive compensation and benefits package to our eligible part-time and full-time partners. Benefits include 100% tuition coverage through our Starbucks College Achievement Plan, health coverage with a variety of plans to choose from, and stock & savings programs like our equity reward program, Bean Stock. What's more, Starbucks offers flexible scheduling and opportunities for paid time off. Visit starbucksbenefits.com for details.
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MINIMUM REQUIREMENTS:
Bachelor's degree in Computer Science, Engineering, Management Information Systems, or a related field, plus 8 years of related work experience (of which 5 years must be progressive, post-baccalaureate related work experience); or a Master's degree in Computer Science, Engineering, Management Information Systems, or a related field, plus 6 years of related work experience.
Must have 3 years of experience using SQL Platform, Hadoop, YARN, MapReduce, and Spark.
Must have 3 years of experience in debugging troubleshooting and performance tuning.
Must have 2 years of experience in logging and monitoring tools, patterns and implementation, shell scripting and enterprise security, rest/Soap services, and best practices in enterprise deployments.
Must have 2 years of experience in data platform implementation using Azure.
Any suitable combination of education, training or experience is acceptable.
Company: Starbucks Coffee Company
Location: Seattle, WA
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TO APPLY: https://starbucks.taleo.net/careersection/1000222im3/jobdetail.ftl?job=240031291&lang=en