Über
As a Data Engineer at Kwik Trip, you will design, build, and maintain data pipelines and infrastructure that power business insights and decision-making. This role focuses on creating scalable solutions for data ingestion, processing, and integration while ensuring accuracy and reliability across systems. What You'll Do Build, test, and maintain data pipelines and integrations Design and evolve infrastructure to ingest, process, and extract meaning from data Troubleshoot issues and implement effective solutions Develop real-time integrations when required Assist in creating and updating technical documentation and data flow diagrams Support technical roadmaps using emerging data technologies Analyze data to identify trends, anomalies, and correlations Perform data cleansing, normalization, and model updates Design and implement statistical models and natural language processing modules What We're Looking For Bachelor's degree in Computer Science, Data Engineering, or related field 02 years of experience in data engineering or similar role Advanced SQL knowledge and experience with relational databases Familiarity with big data technologies and building scalable data architectures Strong analytical skills for working with unstructured datasets Ability to prioritize tasks and meet deadlines in a fast-paced environment Even Better If You Have Proficiency in Python, Scala, or R Experience with data lakes, data streams, Databricks, and Snowflake Knowledge of ETL tools such as Informatica, SSIS, or Talend Familiarity with software development best practices and source control Understanding of message queuing and stream processing Work Schedule: Monday - Friday onsite at our La Crosse Campus
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.