Technical Lead Data Engineering

PPL CorporationAllentown, PA
Remote

About The Position

This role is for a Technical Lead, Data Engineering, who will be responsible for designing and implementing processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes. The individual will empower business partners by building tools, developing protocols, and defining metrics for forward-looking data collection and analysis. This position involves applying quantitative methods to derive actionable insights and outcomes from data, and gathering and processing data from various functions (Transmission, Distribution, Customer Service, and EU Service) to transform them into data products. The role also includes developing and modifying functions, programs, routines, and stored procedures for data export, transformation, and loading.

Requirements

  • Bachelor’s degree in Computer Engineering, or closely related.
  • 5 years post-baccalaureate progressive experience in the field.
  • 3 years in the job offered or as a Technical Lead.
  • 3 years’ experience using Azure Cloud Architecture.
  • 3 years’ experience using Azure Operations and Administration.
  • 3 years’ experience using Azure Security Center.
  • 3 years’ experience using Azure Key Vault.
  • 3 years’ experience using Azure Event Hub.
  • 3 years’ experience using Azure DevOps.
  • 3 years’ experience using Azure Databricks.
  • 3 years’ experience using Snowflake Architecture and Data Modeling.

Responsibilities

  • Design and implement processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes.
  • Empower business partners to turn information into action by building tools, developing protocols, and defining metrics for forward-looking data collection and analysis.
  • Apply quantitative methods to derive actionable insights and outcomes from data.
  • Gather and process data from the Transmission, Distribution, Customer Service, and EU Service functions, and transform them into data products.
  • Develop and modify functions, programs, routines, and stored procedures to export, transform, and load data.
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