Job 145113

Honeywell

**
Cloud-native data and ai platforms on azure
Databricks (spark / pyspark)
Lakehouse architecture using adls gen2 and delta lake
** Honeywell is seeking a Senior Advanced Data Engineer with over 9 years of experience to lead the design and development of cloud-native data platforms using Azure and Databricks. The role emphasizes expertise in data engineering, lakehouse architecture, and AI/ML data pipelines to drive advanced analytics and machine learning initiatives. **

Job Summary

  • Architect, build, and scale cloud-native data and AI platforms on Azure using Databricks.
  • Lead complex, enterprise-scale data initiatives, working closely with data scientists and ML engineers.
  • Own the design and evolution of lakehouse architecture and enable advanced analytics, machine learning, and business intelligence use cases.

Matching Summary

Match Score: 75

** Honeywell is seeking a Senior Advanced Data Engineer with over 9 years of experience to lead the design and development of cloud-native data platforms using Azure and Databricks. The role emphasizes expertise in data engineering, lakehouse architecture, and AI/ML data pipelines to drive advanced analytics and machine learning initiatives. **

Skills & Requirements

Must-have

  • Cloud-native data and AI platforms on Azure
  • Databricks (Spark / PySpark)
  • Lakehouse architecture using ADLS Gen2 and Delta Lake
  • Batch and streaming data pipelines
  • AI/ML data pipelines for model training and inference
  • MLOps pipeline integration
  • Data quality, monitoring, and observability frameworks
  • Data security, governance, and compliance

Nice-to-have

  • Azure Machine Learning or Databricks ML
  • Feature Store, MLflow, or experiment tracking
  • Streaming data with Kafka or Event Hubs
  • dbt, Unity Catalog, or data governance tools
  • Power BI or other BI tools
  • Production-grade MLOps systems
  • LangChain, Agent, Agent Architecture

Key Requirements

  • 9+ years of experience in Data Engineering
  • Deep expertise in Python, PySpark, and Spark SQL
  • Extensive experience with Databricks (Jobs, notebooks, Delta Live Tables)
  • Strong experience with Azure cloud services (ADLS Gen2, Azure Databricks)
  • Expert-level understanding of Delta Lake
  • Advanced SQL skills
  • Proven experience designing AI/ML data pipelines
  • Hands-on experience with CI/CD pipelines and Git

Work Rights

Not specified

Tailored Resume

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