Job 145114

Honeywell

Not specified
Databricks (spark / pyspark)
Azure data lake + delta lake
Ai/ml data pipelines
Honeywell is seeking a Senior Data Engineer with over 6 years of experience to design and scale cloud-native data and AI platforms on Azure using Databricks. The role focuses on building data pipelines and collaborating with data scientists and ML engineers to enhance 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 design and scale cloud-native data and AI platforms on Azure using Databricks. The role focuses on building data pipelines and collaborating with data scientists and ML engineers to enhance the organization’s data strategy.

Skills & Requirements

Must-have

  • Databricks (Spark / PySpark)
  • Azure Data Lake + Delta Lake
  • AI/ML data pipelines
  • Python, PySpark, Spark SQL
  • Azure Cloud services

Nice-to-have

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

Key Requirements

  • 6+ years of experience
  • Azure Databricks expertise
  • Advanced SQL skills

Work Rights

Not specified

Tailored Resume

Cover Letter