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Senior Spark Data Engineer - Remote

Posted 17 weeks ago
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FirstEnergy Careers

Data Analysis
Full Time
United States

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Overview

As a Senior Spark 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.

In Short

  • 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.

Requirements

  • Bachelor’s degree in a quantitative discipline such as Computer Science, MIS or related field with 10 years of related experience.
  • 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.
  • Experience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions.
  • Unix/Linux experience is preferred.
  • Experience in creating, analyzing and documenting ER and Dimensional models.
  • Understanding of data replication tools.
  • Experience in designing and/or developing Analytics applications using tools such as Power BI, QlikView, SAS, RapidMiner or other comparable products.
  • Willingness to travel throughout organization and service territory and work extended hours, as required.

Benefits

  • Competitive pay plus incentive compensation.
  • Company-sponsored pension plan.
  • 401(k) savings plan with matching employer contribution.
  • Choice of medical, prescription drug, dental, vision, and life insurance programs.
  • Skills development training with tuition reimbursement.

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