Data Engineer

icon building Company : Kwik Trip Inc
icon briefcase Job Type : Full Time

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Job Description - Data Engineer

Already a Kwik Trip Coworker? Follow this link to apply: myapps.kwiktrip.com 
Location: Department 671 
Shift: Daytime
Experience: 1-3 years
Minimum Starting Pay: $72,242.04  

 

Kwik Trip, Inc.  operates Kwik Trip, Kwik Star, Tobacco Outlet Plus Grocery, and Stop-N-Go Stores in Wisconsin, Minnesota, Iowa, Michigan, South Dakota, and Illinois with over 30,000+ coworkers’ company wide.

 

Kwik Trip, Inc.’s Information Technology Department is seeking a full-time Data Engineer. This position is a functional contributor to several data projects and initiatives at Kwik Trip. 

 

Position Overview: We are looking for a Data Engineer to join our IT Data Engineering team. The ideal candidate will have a background in Snowflake, Databricks, data warehousing, and Data Engineering best practices. As a Data Engineering, you will play a crucial role in designing, implementing, and optimizing our data infrastructure to support the data-driven initiatives of the business at Kwik Trip.

 

Responsibilities include but are not limited to:

  • Research, design, build, optimize and maintain reliable, efficient, and scalable data pipelines, data models, and data products.
  • Efficiently replicate data from source systems, curate data according to business standards, model data for downstream consumption by reporting tools and other data driven use cases. 
  • Collaborate with business stakeholders to optimize data collection, storage, and understand business use cases to maximize the value of information within supported systems.
  • Translate business needs into robust data engineering solutions.
  • Collaborate with data engineering team on best practices, infrastructure optimization, performance and cost optimization, pipeline monitoring, tool and library evaluation, quality assurance, and documentation.

 

Qualifications:  

  • Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent practical experience.
  • Expertise in SQL and Python.
  • Experience with Snowflake and Databricks platforms.
  • Strong understanding of data frames, Pandas, PySpark, SQL, dbt, Airflow/Astronomer, Azure Data Factory.
  • Understanding of database architecture; experience with MS SQL, DB2, SAP Hana, and MySql a plus.
  • Familiarity with cloud architecture, Azure Cloud Services, streaming APIs, RESTful APIs.
  • Understanding of container development, Docker, and container orchestration.
  • Experience developing, monitoring, maintaining and error handling with data pipelines.
  • Ability to use and complex query statements and advanced database tools, as well as working with data at scale.
  • Experience with git, source code version control, and release management.
  • Familiarity with machine learning concepts, feature engineering, modeling, and training strategies. 
  • Understanding of data governance and compliance.

 

If you are passionate about data engineering, possess the required skills, and are eager to contribute to a dynamic and growing organization, we would love to hear from you!

 

Work Schedule : Monday through Friday, daytime hours.

Kwik Trip, Inc. OVERVIEW:

For over 50 years, Kwik Trip, Inc. has operated friendly, clean, trusted, family-owned, local convenience stores in communities throughout Wisconsin, Minnesota, Iowa, and Illinois. With a commitment to generosity, Kwik Trip, Inc. is dedicated to treating coworkers and guests like family. We continue to look for ways to improve our guest shopping experience and product offerings, as well as to ensure we provide a safe and fun work environment for our coworkers. We offer competitive wage and benefits and continue to invest in our family of coworkers and provide them with career advancement and growth opportunities.

Kwik Trip, Inc. is an Equal Employment Opportunity Employer.

Function: Information Technology; Design; Engineering; General Business; Professional Services; Research; Skilled Labor - Trades; Strategy - Planning

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