Sr Engineer, Data Engineering
Pilot Company•Knoxville, TN
•Onsite
About The Position
The purpose of this job is to provide technical expertise for research, development and modification of data engineering processes and workflows in support of big data infrastructure for Pilot Travel Centers in the retail and energy space.
Requirements
- Bachelor’s degree in computer science, engineering, information technology, or related field, required.
- Minimum eight (8) years of technology operations experience required.
- Strong SQL knowledge and skills required
- Strong knowledge of Relational Databases like Oracle, Postgres or SQL Server required
- Experience with Apache Spark or Spark-streaming, Message Queue technologies and Python required
- Strong knowledge of enterprise data warehouse (EDW) data models with a focus on Star Schema data modeling techniques required
- Excellent analytical skills and the ability to identify solutions to complex data problems
- Ability to provide excellent customer service
- Excellent written and verbal communication skills
- Willingness to learn and embrace new technologies
- Ability to mentor and motivate a diverse team; ensure team and individual accountability and performance standards are met
- Ability to prioritize, multitask and manage multiple projects successfully in a fast-paced and dynamic environment
- Strong organizational skills with attention to detail
- Ability to communicate and interact effectively with different levels of the organization to negotiate, problem solve, complete projects and influence decision making
- Self-motivated with ability to work both independently and within teams in order to establish and meet deadlines, goals, and objectives
Nice To Haves
- Experience in the commodities and energy space preferred.
- Experience with unified data platforms such as Databricks or Snowflake preferred
- Strong knowledge of Cloud Data platforms such as Amazon Web Services (AWS), Azure or Google Cloud preferred
Responsibilities
- Research, develop, document, and modify Data Engineering processes and jobs per data architecture and modeling requirements; collaborate with Data Analytics team members such as Data Strategists and Data Scientists
- Collaborate with business stakeholders to understand data needs including data velocity, veracity, and access patterns
- Provide technical expertise to implement Data and Analytics specifications
- Serve on cross-functional project teams and provide perspective for the Data Analytics team on executing key deliverables
- Troubleshoot complex, escalated issues including connection, failed jobs, application errors, server alerts and space thresholds within predefined service level agreements (SLAs)
- Proactively maintain and tune all code according to internally documented Data Engineering standards and best practices
- Review and ensure appropriate documentation for all new development and modifications of the Data Lake processes and jobs
- Perform code and process reviews and oversee testing for solutions developed, and ensure integrity and security of institutional data
- Educate business stakeholders on the usage and benefits of the Data Lake/Lakehouse and related technologies
- Mentor and guide less experienced team members and provide feedback on project work
- Model behaviors that support the company’s common purpose; ensure guests and team members are supported at the highest level
- Ensure all activities are in compliance with rules, regulations, policies, and procedures
- Complete other duties as assigned
Benefits
- Travel required less than 10%
- General office work requiring sitting or standing for long periods of time
- Able to lift up to 30 lbs.
- Able to work evenings, weekends and odd hours as needed
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What This Job Offers
Job Type
Full-time
Career Level
Senior
