Job 145334

Honeywell

Not specified (assumed hybrid based on industry standards).
Databricks lakehouse architecture
Etl/elt pipelines
Databricks (pyspark / spark sql)
Honeywell is seeking a Data Engineer with 2-4 years of experience to design, build, and maintain scalable data pipelines, primarily using Databricks and cloud-based platforms. The role includes mentoring junior team members and overseeing project execution to ensure timely delivery and data quality

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, managing end-to-end processes and projects.
  • Mentor and guide junior colleagues to support their skill development, professional growth, and overall success.

Matching Summary

Match Score: 85

Honeywell is seeking a Data Engineer with 2-4 years of experience to design, build, and maintain scalable data pipelines, primarily using Databricks and cloud-based platforms. The role includes mentoring junior team members and overseeing project execution to ensure timely delivery and data quality.

Skills & Requirements

Must-have

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

Nice-to-have

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

Key Requirements

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

Work Rights

Not specified

Tailored Resume

Cover Letter