Job Summary (List Format):
- Serve as a Senior Data Engineer, designing and delivering scalable cloud-based data solutions.
- Develop, optimize, 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, and performance optimization on large datasets.
- Ensure database security, integrity, and reliability using best practices.
- Build and manage data solutions in Azure SQL Database and Databricks (Apache Spark).
- Support data transformations, analytics, and large-scale processing using Databricks, Spark SQL, Delta Lake, and PySpark/SQL.
- Design and maintain relational and dimensional data models for data warehousing.
- Implement data warehousing patterns such as Slowly Changing Dimensions (SCD).
- Support ETL/ELT processes and collaborate with data engineering and BI teams.
- Partner with stakeholders to gather and understand data requirements.
- Mentor junior developers, conduct code reviews, and enforce database standards.
- Troubleshoot production issues and perform root cause analysis.
- Work in Azure cloud and hybrid data environments.
- Require 10+ years of experience in database development and related roles.
- Must possess strong skills in SQL Server, Azure SQL, T-SQL, Databricks, Apache Spark, and data warehousing concepts.
- Strong analytical, problem-solving, and communication skills required.
- Engineering degree and technical certifications are desirable.
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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: 10209652
- Position Id: 2026-227784/12487
- Posted 2 days ago
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