Direct message the job poster from Kwik Trip, Inc.
Ann David
Student at University of Wisconsin-La Crosse
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.
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!
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Retail
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