Senior Data Engineer - Azure Databricks (AI-Ready)

TLDR

Leverage expert Azure Databricks skills to design, optimize, and govern scalable data pipelines while supporting AI-driven analytics in a dynamic environment.

Requirements

  • Strong hands-on experience with Microsoft Azure in enterprise-scale deployments
  • Expert-level experience with Azure Databricks in production environments
  • Advanced SQL skills and experience with modern data warehouses
  • Proven experience designing and supporting large-scale batch and streaming pipelines
  • Deep hands-on experience with ETL/ELT architectures using Spark, Azure Data Factory
  • Strong proficiency in Python for distributed data processing
  • Experience working with Azure Data Lake, Blob Storage, Azure Synapse, Snowflake, Cosmos DB

 

AI & Advanced Analytics Enablement

  • Familiarity with Databricks MosaicAI and supporting ML / Generative AI data pipelines
  • Experience preparing, optimizing, and governing data for AI model training, inference, and RAG-style workloads

 

Preferred

  • Streaming experience (Spark Structured Streaming, Kafka)
  • CI/CD experience for Databricks (Azure DevOps, GitHub Actions)
  • Azure Data Engineering certifications
  • Databricks certifications

Enable Data Incorporated builds innovative application, data, and cloud engineering solutions tailored for businesses looking to enhance their data capabilities. Our focus is on delivering real value to clients through groundbreaking technology and expert services, making us a distinctive player in the data engineering sector.

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