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Senior Data Engineer

2 months ago

Southfield, United States Epsilon Full time

Job Description

Important: This is a hybrid role working at least 2 days per week in the Atlanta, GA or Southfield, MI office.

How You’ll Make an Impact

Epsilon is seeking a Senior Data Engineer to join our growing data science team assisting with telecommunication clients that we serve.

Work together win together: This role reports to the Vice President, Data Science Innovate with purpose: Your role is to interpret the business logic required to turn a complex idea into a sustainable value-added process and ensure the data is usable and viable with near real-time reporting, delivering solutions to the problems presented.

What You’ll Achieve

Impact : You will design and deploy the data warehousing system to support day-to-day operations and reporting. You will also conduct preliminary testing of data sources and the data warehouse environment before extracting and loading data into the systems. Career   Growth : If successful, the Senior Data Engineer may gain exposure to other clients where you can make the most impact. Also, you may have an opportunity to level up to a lead or manager role helping to mentor more junior data engineers/ analysts and hone your leadership skills.

Who You Are

What you’ll bring with you: Must be able to adopt all necessary steps required to create analysis-ready data tables including data integration, variable preparation, and quality control. Ensures compliance with the production standardsMust be familiar with programs and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resourcesUse of Azure Databricks and/or Data factory to perform all work.Detect data anomalies and/or inconsistencies and resolve them promptlyCoach junior Data Engineers on tools and processes within the team Initiative  – Proactively identifies areas for improvement and automates processes resulting in efficiency gain Problem   Solving  – Always follow the best practices and architecture guidelines while building data solutions Collaboration  – Collaborate with the internal and external stakeholders to manage data system enhancements including system specifications, data specifications, structures, and rules. Organization  – Execute multiple projects concurrently and account for the timeliness and quality. Why you might stand out from other talent :Bachelor’s degree in computer science or equivalent relevant experience required3-5+ years of knowledge of ETL Process, Data Hub/Lakes/Mart/Mesh, and Data DemocratizationExposure to Microsoft Azure, Databricks, and Data Factory is a must-have.Working knowledge of Telecom Industry data is an advantage