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Job Description

VeeRteq Solutions Inc. is seeking a Senior Azure Data Engineer to design, optimize, and deliver scalable cloud-based data solutions that support analytics and enterprise data platforms. This hybrid role is based in Chicago, IL, with 3 days per week in the office, and requires relocation to Chicago from day 1.

Key Responsibilities

  • Design, develop, and maintain complex SQL Server and Azure SQL databases.
  • Build and optimize advanced T-SQL solutions, including stored procedures, functions, and views.
  • Conduct query tuning, develop indexing strategies, and improve performance for large-scale datasets.
  • Apply best practices for database security, data integrity, and reliability.
  • Develop and manage data solutions in Azure SQL Database.
  • Work with Databricks and Apache Spark to support data transformations, analytics, and large-scale 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.
  • Design and maintain relational and dimensional data models.
  • Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.
  • Support ETL/ELT processes and coordinate with data engineering teams.
  • Collaborate with application developers, data engineers, BI teams, and stakeholders to understand data requirements.
  • Provide guidance and mentoring to junior developers and participate in code reviews.
  • Troubleshoot production issues and perform root cause analysis.

Required Qualifications

  • 8+ years of experience as a Database Developer or in a 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.

Technical Focus

  • SQL Server, Azure SQL, T-SQL, Azure SQL Database
  • Databricks, Apache Spark, Delta Lake
  • Spark SQL, PySpark/SQL
  • ETL, ELT, and Slowly Changing Dimensions (SCD)

Education and Certifications

An Engineering Degree (BE/ME/BTech/MTech/BSc/MSc) is required. Technical certification in multiple technologies is desirable.

Location and Interview Details

This position is located in Chicago, IL (Hybrid) with 3 days work from the office. Client interviews can occur virtually; the candidate must relocate to Chicago, IL from day 1.

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