Data Engineer III

Love's Travel Stops & Country Stores-posted 3 months ago
Full-time • Mid Level
Oklahoma City, OK
5,001-10,000 employees
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Welcome to Love's: The Data Engineer III will play a pivotal role in building, managing, and optimizing data pipelines for the Enterprise Data & Analytics initiatives following industry standard practices and tools. This role will be the key interface in operationalizing data and analytics on behalf of the business unit(s) and organizational outcomes.

  • Architect, build, and maintain data pipelines through acquisition, ingestion, staging, and modeling
  • Provide architectural input to program leadership for project teams to develop solutions that align with long-term data warehouse strategy
  • Responsible for the identification and qualification of source data to satisfy master and transactional data requirements for the target warehouse
  • Lead data assessment and mapping activities, and develop the underlying migration framework to extract, transform, validate, enrich, and load the source data
  • Define reusable solution architectures using standard modeling practices
  • Design and deliver solutions that are reliable and scalable and focused on driving automation and improving productivity
  • Fundamental understanding of data warehousing principles
  • Ability to understand impacts of a solution architecture on corresponding design, build, and test efforts
  • HS Diploma or equivalent required, bachelor’s degree in business with MIS or technology related degree (C.S.) preferred
  • 3-5 years experience with cloud data warehouses such as Snowflake, working with complex SQL code, working with DevOps capabilities like version control, automated builds, testing and release management using tools like Git
  • Moderate experience working with open-source or commercial message queuing technologies, such as Azure Service Bus, Apache Nifi, Apache Kafka, etc., and with replication software such as Fivetran or HVR
  • SQL Server 2008+, SAP Hana, Tableau, Power BI, R/Python, and Dbt experience preferred
  • Strong experience with various Data Management architectures like Data Warehouse, Data Lake, Data Hub, Data Vault and the supporting processes like Data Integration, Governance, and Metadata Management
  • Strong experience working with large, heterogeneous datasets in building data pipelines and integrating datasets using traditional data integration technologies, including ETL/ELT, data replication/CDC, message-oriented data movement, and API-based data acquisition
  • Fuel Your Growth with Love's - company funded tuition assistance
  • Paid Time Off
  • 401(k) – 100% Match up to 5%
  • Medical/Dental/Vision Insurance after 30 days
  • Competitive Pay
  • Career Development
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