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VBeyond Corporation Linkedin · Posted yesterday

Azure Data Engineer

Illinois, United States

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Job Description


Title : Azure Data Engineer

Location : Chicago, IL (3 days onsite/Week)

Type of Employment : - Contract


Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions supporting analytics and enterprise data platforms with Palantir or Oncology experience.


Interview : - Final client interview will be in person interview at chicago, IL.


Mandatory Skills


  • 10+ years of experience as a Database Developer or similar role.
  • Strong expertise in SQL Server and Azure SQL.
  • Advanced proficiency in T-SQL, including performance tuning and query optimization.
  • Hands-on experience with Databricks and Apache Spark.
  • Solid understanding of data warehousing concepts, dimensional modelling, and SCD.
  • Experience working in Azure cloud environments.
  • Strong analytical, problem-solving, and communication skills.
  • Experience with Palantir Foundry or Oncology projects.


Roles and Responsibilities


  • Database Development & Optimization: Design, develop, and maintain complex SQL Server and Azure SQL databases.
  • Write and optimize advanced T-SQL queries, stored procedures, functions, and views.
  • Perform query tuning, indexing strategies, and performance optimization for large-scale datasets.
  • Implement best practices for database security, data integrity, and reliability.
  • Cloud & Data Platform:
  • Develop and manage data solutions in Azure SQL Database.
  • Work with Databricks (Apache Spark) to support data transformations, analytics, and large-scale data processing.
  • Integrate Azure SQL with Databricks using Delta Lake, Spark SQL, and PySpark/SQL where applicable.
  • Support cloud-based data architectures and hybrid data environments.
  • Data Modelling & Warehousing:
  • Design and maintain relational and dimensional data models.
  • Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.
  • Support ETL/ELT processes and collaborate with data engineering teams.
  • Collaboration & Leadership:
  • Partner with application developers, data engineers, BI teams, and stakeholders to understand data requirements.
  • Provide guidance and mentoring to junior developers.
  • Participate in code reviews and enforce database development standards.
  • Troubleshoot production issues and provide root cause analysis.


Experience : - 10+ Years


Duration: - 12 Months


Educational Qualifications


  • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.
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