Job 145114

Honeywell

Not specified
Azure databricks
Lakehouse architecture
Ai/ml data pipelines
Honeywell is seeking a Senior Data Engineer with over 6 years of experience to develop and scale cloud-native data and AI platforms on Azure, specifically using Databricks. The ideal candidate should have strong expertise in data engineering and AI/ML data pipelines, playing a crucial role in advancing the organization’s data strategy

Job Summary

  • Architect and develop end-to-end data pipelines on Azure using Databricks (Spark / PySpark).
  • Design and maintain lakehouse architectures using Azure Data Lake + Delta Lake.
  • Collaborate with data scientists and ML engineers to enable scalable ML workflows.

Matching Summary

Match Score: 85

Honeywell is seeking a Senior Data Engineer with over 6 years of experience to develop and scale cloud-native data and AI platforms on Azure, specifically using Databricks. The ideal candidate should have strong expertise in data engineering and AI/ML data pipelines, playing a crucial role in advancing the organization’s data strategy.

Skills & Requirements

Must-have

  • Azure Databricks
  • lakehouse architecture
  • AI/ML data pipelines
  • Python, PySpark, Spark SQL
  • Azure Data Lake Storage (ADLS Gen2)
  • Delta Lake

Nice-to-have

  • Azure Machine Learning
  • Feature Store, MLflow
  • Streaming data experience
  • dbt, Unity Catalog
  • MLOps best practices

Key Requirements

  • 6+ years of experience
  • Hands-on expertise in data engineering
  • Strong proficiency in Python, PySpark, and Spark SQL
  • Extensive experience with Databricks
  • Strong experience with Azure Cloud services
  • Advanced SQL skills

Work Rights

Not specified

Tailored Resume

Cover Letter