Azure Data Engineer

1 day ago

Minneapolis, MN, United States Aloden, Inc. Full time
Azure Data Engineer
Location: Minneapolis, MN 55416(Hybrid - 2-3 days/week)
Contract Duration: 3 months with possible extension to 12 months
Only GC holders or US Citizens

Role Overview
We are looking for an experienced Azure Data Engineer to join our team on a contract basis. The ideal candidate will have strong expertise in Azure Synapse Analytics, experience working in a DevOps environment, and preferably familiarity with Databricks. This role focuses on building and optimizing data pipelines and analytics solutions to support business intelligence and advanced analytics initiatives.

Key Responsibilities:
Technical
  • Proven ability to design, build, and maintain complex, scalable, efficient, and reliable data pipelines in Azure Implement PySpark transformations for large-scale data processing with Spark pools in Azure Synapse or Databricks.
  • Automate data ingestion, enrichment, and reconciliation processes with parametrized, reusable and auditable components.
  • Solid understanding of relational databases (Azure SQL), and NoSQL databases (Cosmos DB)
  • Hands-on experience in DevOps environments with CI/CD pipelines
  • Ensure data quality, security, and compliance
  • Familiarity with Databricks
  • Ability to work in a hybrid team environment

Collaboration and Domain Partnership
  • Collaborate with Platform Engineers and Enterprise Architects to align design patterns and standards across enterprise data ecosystem
  • Partner with data governance team and adhere to data governance policies and standards to ensure data integrity and compliance
  • Collaborate with analytics teams to understand company needs and ensure our data platform can enable use cases across the business

Process and Documentation
  • Maintain comprehensive documentation for all pipelines, data models, and operational procedures
  • Prepare data flow diagrams, lineage maps, and control logs for audit reviews

Required Qualifications
  • 3+ years of experience in data engineering with Azure cloud technologies.
  • Strong proficiency in Azure Synapse Analytics and related services.
  • Hands-on experience in DevOps environments with CI/CD pipelines.
  • Solid understanding of data, SQL, and performance tuning.
  • Familiarity with Databricks and Spark (preferred).
  • Ability to work in a hybrid team environment.

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