Data Engineer (etl / Elt)

Johnson Controls OpenBlue

Design, build, and maintain data pipelines
Migrate legacy etl pipelines
Convert file-based data to snowflake
As a Data Engineer within the Logistics & Distribution (L&D) organization, you will play a critical role in modernizing and scaling our data ecosystem to support operational visibility, KPI standardization, and analytics expansion across regions and business units

Job Summary

  • As a Data Engineer within the Logistics & Distribution (L&D) organization, you will play a critical role in modernizing and scaling our data ecosystem to support operational visibility, KPI standardization, and analytics expansion across regions and business units.
  • You will design, build, and maintain robust data pipelines and data models that enable reliable reporting across transportation, warehousing, freight audit, delivery performance, and other core logistics functions.
  • Support predictive analytics initiatives such as ETA modeling, exception forecasting, and demand prediction through well‑structured data pipelines.

Matching Summary

As a Data Engineer within the Logistics & Distribution (L&D) organization, you will play a critical role in modernizing and scaling our data ecosystem to support operational visibility, KPI standardization, and analytics expansion across regions and business units.

Skills & Requirements

Must-have

  • Design, build, and maintain data pipelines
  • Migrate legacy ETL pipelines
  • Convert file-based data to Snowflake
  • Automated data ingestion pipelines
  • Build foundational data models
  • Integrate logistics datasets with corporate data lake
  • Implement data quality monitoring

Nice-to-have

  • Experience with enterprise-scale data lakes
  • Familiarity with logistics metrics
  • Experience standardizing processes and data

Key Requirements

  • 4+ years of experience in data engineering
  • Experience supporting supply chain, logistics, transportation, or distribution data systems
  • Strong SQL expertise
  • Hands-on experience with ETL/ELT tools
  • Hands-on experience with Azure Data Factory (ADF)
  • Experience working with Snowflake
  • Ability to integrate, clean, and model fragmented datasets
  • Understanding of data governance, quality frameworks, and metadata documentation
  • Experience building data models for BI tools like Power BI
  • Ability to translate operational logistics requirements into technical solutions

Work Rights

Not specified

Tailored Resume

Cover Letter