Azure Engineer - Full Time

• Posted 7 days ago • Updated 6 days ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • Kafka
  • SQL
  • Data Engineering
  • Apache Spark
  • snowflake
  • data governance
  • Azure Databricks
  • DBT (Data Build Tool)
  • Unity Catalog
  • Microsoft Purview

Summary

Role: Azure Engineer
Location : Aliso Viejo, CA (Onsite)
Job Type: Full Time
RequiredSkills:
Python, Azure, Databricks, SQL, ADF, Fabric/Synapse, Snowflake, Apache Spark (PySpark/SQL), Kafka, dBT
Experience Required: Min 10+ years
Experience and Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 10+ years in data engineering/architecture with substantial hands-on depth in Azure.
  • Expert in Azure Databricks & Apache Spark (PySpark/SQL), Delta Lake, Unity Catalog, job orchestration, and performance tuning.
  • Strong Snowflake on Azure experience (schema design, performance/cost optimization, RBAC, streams/tasks).
  • dbt expertise (project structure, tests, exposures, macros; Core or Cloud) and solid SQL/Python fundamentals.
  • Proven track record building ETL/ELT pipelines with ADF and/or Synapse/Fabric pipelines; familiarity with Event Hubs/Kafka for streaming.
  • Solid foundation in lakehouse and warehousing architectures, dimensional modeling, medallion patterns, and data quality frameworks.
  • Security & governance know-how: Purview lineage/catalog, data masking, PII handling, managed identities, private networking
Nice to Have:
  • Experience with Azure ML, feature stores, or serving ML pipelines from Databricks/Snowflake.
  • Infrastructure as Code (Terraform/Bicep) for Azure data platforms, containerization with Docker.
  • Observability tools (Great Expectations/Delta Expectations, Databricks quality flows, Monte Carlo, DataDog).
Certifications (Preferred):
  • Databricks Certified Data Engineer Professional (or Architect).
  • Microsoft Azure: DP-203 (Data Engineering), Azure Solutions Architect Expert, Azure Security Engineer Associate.
  • Snowflake: SnowPro Core / Advanced.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91091604
  • Position Id: 2026-3411
  • Posted 7 days ago
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