IT Data Engineer - Innovation & Digital Enablement Platform Intern
September 9
Description
• This is an open position with FirstEnergy Service Company, a subsidiary of FirstEnergy Corp. • As a participant in the Co-op/Intern Professional Development Program, you will be cultivating professional skills and performing professional level work. You won’t just be sitting in meetings and shadowing all summer; you’ll be actively contributing and doing the same work as other FirstEnergy employees on your team. • As a Data Engineer on the Innovation & Digital Enablement Platform team at FirstEnergy you will work on an Agile team that is digitally enabling the company by building data pipelines that drive analytic solutions. These solutions will generate insights from the connected data, enabling the organization to advance the data-driven decision-making capabilities of the enterprise. • The ideal candidate is skilled in data and software engineering and has experience creating data products supporting analytic solutions.
Requirements
• Currently enrolled, full time, in a bachelor’s degree program at an accredited university/college focusing on Computer Science, Computer/Management Information Systems, Mathematics, Statistics, Economics or other technology related disciplines • Class Standing – Rising Senior or Rising Junior • Maintain a minimum cumulative GPA of 2.5 • Must have the ability to work without sponsorship (now or in the future) • Willingness to undertake assignments involving unfamiliar subjects and demonstrate aptitude to learn quickly • Excel at communicating complex ideas and concepts both verbally and through writing • Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions • Development and tuning of ETL processes using any type of ETL tool or architecture • Creating, analyzing and documenting ER and Dimensional models • Unix/Linux experience is preferred. Data Engineers maintain Unix files, commands, and scripts, which requires an understanding of Unix operating system concepts • Kimball methodology to design and develop Enterprise Data Warehouses and Data Marts • Working with larger datasets (Databricks, Snowflake or similar cloud platform preferred) Prefer 2 or more years of experience with Spark • Python or other language (preferably in a Data Engineering or Data Science role) Streaming experience with Kafka, AWS Kinesis, Azure Stream Analytics, or similar technology • Data quality tests within data engineering pipelines • Designing and/or developing Analytics applications with BI/Analytics tools (such as: Power BI, QlikView, SAS, Tableau) • Data Observability solutions or concepts • Enterprise systems and processes (such as: IVR systems, ERP’s, Procurement, Supply Chain, Financials, SOX • Understanding of Data Contracts or similar process • Understanding of data replication tools (such as: Informatica Data Replication or Oracle GoldenGate)
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