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in Oklahoma City, OK

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Hours Full-time, Part-time
Location Oklahoma City, OK
Oklahoma City, Oklahoma

About this job

Req ID: 97086

BASIC PURPOSE:

The Enterprise Data & Analytics group at Love’s Travel Stops is looking for a Big Data Developer, to be a part of a team that designs and develops Big Data solutions that meet business objectives.  This is an exciting opportunity to work for a family-owned company that continues to experience growth, and get in on the ground floor to help build the company’s Big Data practice.  The ideal candidate has a deep technical knowledge of the Hadoop stack and possesses a desire to push the business further through innovation.  This role requires a close partnership with the Data Science/Analyst community, as well as various IT teams, to ensure requirements are met and solutions are supportable and scalable.

 

MAJOR RESPONSIBILITIES:

  • Design and implement data ingestion techniques for real time and batch processes for a variety of sources into Hadoop ecosystems and HDFS clusters
  • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
  • Knowledge of data, master data and metadata related standards, processes and technology
  • Define and document architecture roadmaps and standards
  • Drive use case analysis and solution design around activities focused on determining how to best meet customer requirements within the tools of the ecosystem
  • Ensure scalability and high availability, fault tolerance, and elasticity within big data ecosystem
  • Architect and develop ELT and ETL solutions focused on moving data from highly diverse data landscape into a centralized data lake; also architect solutions to acquire semi/unstructured data sources, such as sensors, machine logs, click streams, etc.
  • Manage all activities centered on obtaining data and loading into an Enterprise Data Lake
  • Serve as an expert in efficient ETL, data quality, and data consolidation
  • Stay current with vendor/product roadmaps and make recommendations for adoption
  • Maintain a customer-focused attitude

EDUCATION AND REQUIREMENTS:

  • Education:
    • Bachelor’s Degree or equivalent in Information Technology, Computer Sciences or Computer Engineering
  • Experience:
    • 8 years IT experience
    • 3+ years of experience building large-scale data solutions involving data architecture, data integration, business intelligence and data analytics
    • 1+ year of experience working on large scale Big Data projects
    • Deep technical knowledge of most components contained within the Hadoop ecosystem (MapReduce, HDFS, YARN, Hive, HBase, Sqoop, etc.), preferable with Hortonworks distribution
    • Experience building streaming analytics solutions, using Storm or other similar technologies
    • Understanding of statistical and predictive modeling concepts, a plus
    • Strong Java/J2EE experience
    • Experience with visualization tools
    • Experience with RDBMS platforms, such as SQL Server and in-memory columnar storage, such as HANA

 

SKILLS AND PHYSICAL DEMANDS:

  • Skills:
    • Ability to manage numerous competing demands in a fast paced environment
    • Excellent verbal and written communication skills
  • Typical Physical Demands:
    • Requires prolonged sitting, some bending and stooping.
    • Occasional lifting up to 25 pounds.
    • Manual dexterity sufficient to operate a computer keyboard and calculator.
    • Requires normal range of hearing and vision.

Job Function(s): Information Technology
Clean Places, Friendly Faces. It's been the guiding principle at Love's for more than 50 years, and it's leading us into the future. We're passionate about serving drivers with clean, modern facilities stocked with plenty of fuel, food and supplies. Love's has two primary kinds of stores. Our 'Country Stores' are fueling stations with a convenience store attached. The larger 'Travel Stops' are located on interstate highways and offer additional amenities such as food from popular restaurant chains, trucking supplies, showers and more.