JOB DESCRIPTION FirstEnergyFirstEnergy at a GlanceWe are a forward-thinking electric utility powered by a diverse team of employees committed to making customers' lives brighter, the environment better and our communities stronger.FirstEnergy (NYSE: FE) is dedicated to safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,500 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of 3,780 megawatts.About the OpportunityThis is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp. [SC00] The ability to work remotely within the United States may be available based on business need. This option is not available in the states of California, Colorado, Illinois, Kentucky, Massachusetts, Montana, New York, Nebraska, Oregon or Washington at this time.As a Data Engineer 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. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data and software engineer with experience creating data products supporting analytic solutions. Our digital projects benefit the community by aiding in providing safe, reliable electricity to everyone: * Customer: create analytics to improve customer satisfaction along the customer journey for a lifetime as they move-in to a residence, pay their bill and move to new residences. * Transmission & Distribution: develop algorithms to detect asset failures, reduce outages and provide reliable electricity to customers. * Smart Meter: provide customers with the electric usage they need to make smart decisions about their home as well as reduce threats and theft in the electric system. What you'll do: * Serve as the subject matter expert in technologies used for our data strategy in the cloud. * Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals * Solve complex data problems to deliver insights that helps the organization's business to achieve their goals * Create data products for analytics and data scientist team members to improve their productivity * Advise, consult, mentor and coach other data and analytic professionals on data standards and practices * Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions * Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve the organization's productivity as a team * Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. What You Will Need to be Qualified: * Bachelor's degree in a quantitative discipline such as Computer Science, MIS or related field with 10 years of related experience. * Related Experience includes but is not limited to: Development and tuning on any RDBMS technology (Oracle, SQL Server, Teradata, SingleStore). * Strong knowledge of using Spark for fast imagery and big data processing. * Expert knowledge in managing and tuning of Data Lake and Lakehouse storage objects with accompanying data engineering pipelines. * Expert knowledge in Python and SQL development and troubleshooting. * 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. * Experience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions. * Prefer 8 or more years of knowledge and experience in development and tuning of ETL processes using any type of ETL tool or architecture. * Experience in 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. * Prefer 4 - 5 years of experience in using the Kimball methodology to design and develop Enterprise Data Warehouses and DTo view the full job description, click here