Job 145116

Honeywell

Not specified
Databricks lakehouse architecture
Etl/elt pipelines
Databricks (pyspark / spark sql)
Honeywell is seeking a Data Engineer with 2 to 4 years of experience to design and maintain data pipelines using Databricks and cloud platforms. The role involves overseeing team tasks and mentoring junior colleagues while ensuring data quality and optimizing workflows

Job Summary

  • Design, build, and maintain scalable data pipelines using Databricks and cloud‑based data platforms.
  • Oversee, supervise, and review tasks performed by team members to ensure effective execution of work.
  • Manage end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery.

Matching Summary

Match Score: 85

Honeywell is seeking a Data Engineer with 2 to 4 years of experience to design and maintain data pipelines using Databricks and cloud platforms. The role involves overseeing team tasks and mentoring junior colleagues while ensuring data quality and optimizing workflows.

Skills & Requirements

Must-have

  • Databricks Lakehouse architecture
  • ETL/ELT pipelines
  • Databricks (PySpark / Spark SQL)
  • Delta Lake
  • cloud data storage

Nice-to-have

  • streaming technologies
  • dbt, Unity Catalog
  • cloud security, IAM
  • BI tools
  • data science or ML workflows

Key Requirements

  • 2–4 years of professional experience
  • Databricks platform experience
  • Python (PySpark) and Spark SQL proficiency
  • Delta Lake experience
  • Strong SQL skills
  • Cloud data storage experience
  • ETL orchestration tools experience
  • Git and version control practices

Work Rights

Not specified

Tailored Resume

Cover Letter