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PamTen, Inc. Technical Lead - II_Microsoft SQL Server in United States

What is in it for you? 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 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.

    Skills: - 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.

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