Data Engineer III at Loves Travel Stops
Houston, TX 77019, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

0.0

Posted On

14 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Apache Kafka, Sql Server, Git, Version Control, Tableau, Data Vault, Snowflake, Testing, Cdc, Data Acquisition, Open Source, Data Warehouse, Data Integration, Communication Skills, Power Bi, Sap Hana, Metadata Management, Manual Dexterity, Datasets

Industry

Information Technology/IT

Description

Benefits: * 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 *
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.

EXPERIENCE AND QUALIFICATIONS:

  • 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

SKILLS AND PHYSICAL DEMANDS:

  • Capable of thinking big picture and sorting through an ambiguous environment, ability to manage numerous competing demands in a fast-paced environment, demonstrates good judgement, highly creative and collaborative, and excellent verbal and written communication skills
  • Requires prolonged sitting, some bending and stooping
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Requires normal range of hearing and vision
  • This is an onsite role

How To Apply:

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Responsibilities

Please refer the Job description for details

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