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T-MobilePosted 3 weeks ago

Principal Data Engineer

$125,600–$226,600 year

On-sitePhiladelphia, Pennsylvania, United States or New York, United States

Full TimeSenior LevelDoctorate Or Professional DegreeLarge

Job Summary

Lead the design and development of data warehouse and business analytics solutions to ensure scalable and reliable data infrastructure for T-Mobile Advertising Solutions platforms. Collaborate with cross-functional teams to architect data solutions, manage independent workstreams, and facilitate workshops to align engineering efforts with organizational goals. Provide hands-on leadership in data implementation projects, mentor engineers, and assist in defining projects including estimating, planning, and scoping work. Design and build self-service analytics and big data solutions using cloud technologies like Snowflake, Databricks, and AWS services while addressing complex migration and integration challenges within an Agile environment.

Required Qualifications

  • Bachelor's Degree
  • 7 years of related work experience
  • Advanced degree
  • 5 years of related experience
  • Mathematics
  • Computer Science
  • Engineering
  • Finance
  • Statistics
  • related technical field
  • 7-10 years Related experience as a Data Engineer
  • 5+ years developing cloud solutions using data services
  • 3+ years of managing or leading/coaching data engineering teams
  • Experience designing and building self-service analytics and big data solutions using cloud technologies
  • EMR
  • Aurora
  • Redshift
  • Glue
  • S3
  • SWF
  • Quicksight
  • Cloud Computing
  • Collaboration
  • Data Architecture
  • Data Engineering
  • Databricks DBRX
  • Engineering Leadership
  • Project Scoping
  • Snowflake
  • Cloud platform certification(s)
  • AWS Certified Solutions Architect
  • AWS Certified Cloud Practitioner
  • Microsoft Certified Solutions Associate (MCSA)
  • At least 18 years of age
  • Legally authorized to work in the United States

Desired Qualifications

  • Experience with the Software development Life Cycle (SDLC) and Agile/Scrum methods

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