Data Engineer
St. Louis, Missouri, United States
Full Time Mid-level / Intermediate USD 78K - 108K
Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?
SALARY: $78,200 - $108,900, bonus eligible
COMPANY:
Michelob ULTRA. Cutwater Spirits. Budweiser. Kona Brewing Co. Stella Artois. Bud Light. That’s right, over 100 of America’s most loved brands, to be exact. But there’s so much more to us than our top-notch portfolio of beers, seltzers, and more. We are powered by a 19,000-strong team that shares our passion to create a future with more cheers. We look for people with talent, curiosity, and commitment and provide the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?
ROLE SUMMARY:
In this role you will work at the intersection of understanding business problems so that you can build data assets to support products that invoke people to take data driven decisions. This will entail developing a deep understanding of existing processes, data that supports the processes and high frequency iterations to ship aesthetically compelling visualizations and reporting products. You will also have the opportunity to influence architecture and technology to promote the quality and innovation vital for industry changing data driven decisions at all levels of the company.
JOB RESPONSIBILITES:
Meaningfully relate data for key products across the company
Daily interactions with Product, Data Science and Software Engineering teams to iterate quickly and constantly change / update / add visualizations to our reporting products.
Build data models using the latest cloud technologies that support fast, low maintenance and scalable problem solving.
Build stable pipelines and support Data Science and the Front End team on all data needs.
JOB QUALIFICATIONS:
SQL, Python, Pyspark
Databricks, Unity Catalog
Snowflake
Azure DevOps
Databricks workflows, Airflow
Datadog
Lucidchart
Extra Credit:
Typescript
Kafka protocol
Azure functions, Azure logic apps
Azure Datafactory
PowerApps
Docker, Kubernetes
Tags: Airflow Architecture Azure Databricks DevOps Docker Engineering Kafka Kubernetes Pipelines PySpark Python Snowflake SQL TypeScript
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