Senior Data Engineer - Data Bricks

UPS

Indianapolis, IN, United States
Databricks
Apache spark
Python
This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units

Job Summary

  • This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units.
  • We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion.
  • If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Matching Summary

This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units.

Skills & Requirements

Must-have

  • Databricks
  • Apache Spark
  • Python
  • SQL
  • Data warehousing
  • Cloud solutions
  • Data pipelines

Nice-to-have

  • Innovative possibilities
  • Rewarding culture
  • Talented teams
  • Agile concepts
  • Emerging technology adoption

Key Requirements

  • 3 years of experience with Databricks, Apache Spark, Python, and SQL
  • Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience
  • Proficient in developing notebooks in Data bricks using Python and Spark and Spark SQL
  • Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages
  • Proficient in using Azure Data Factory and other Azure features such as LogicApps

Work Rights

Not specified

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