Senior SQL Server Developer - Data Platform and ETL Expert

Dexian; Brandon (FL); Presencial; USD 95.000 - 135.000; Jornada completa

Descripción de la vacante

Dexian seeks a hands-on database developer skilled in high-performance T-SQL on SQL Server and building on a data platform. The role owns stored procedures and data-movement processes supporting enterprise applications and collaborates with backend teams to adopt advanced data solutions.

Daily coding is expected along with establishing best practices, standards, and reference architectures. Opportunities exist to extend AI capabilities such as vector search and model serving on the data platform.

Formación

• Hands-on database development with a focus on high-performance T-SQL on SQL Server.
• Owns stored procedures and data-movement processes for enterprise apps.
• Collaborates with backend teams and leads adoption of advanced enterprise data solutions.

Responsabilidades

• Design, develop, test, and maintain stored procedures, functions, views, and triggers on Microsoft SQL Server.
• Develop and manage complex T-SQL scripts for data movement, ETL/ELT, batch loads, and incremental synchronization.
• Optimize query performance via indexing, execution plans, and resolving blocking/deadlocks.
• Maintain schema changes, deployment scripts, and version control using CI/CD pipelines.
• Ensure data integrity, security, and auditability of database code.
• Collaborate with .NET backend team on data-access patterns.
• Review and improve data-access code from EF, Dapper, and ADO.NET.
• Participate in sprint planning, design reviews, and code reviews.

Conocimientos

T-SQL

SQL Server

ETL/ELT

CI/CD pipelines

Data movement

Data modeling

Vector search

Model serving

Entity Framework

Dapper

ADO.NET

Herramientas

Entity Framework

Dapper

ADO.NET

Descripción del empleo

Dexian seeks a hands-on database developer skilled in high-performance T-SQL on SQL Server and building on a data platform. The role owns stored procedures and data-movement processes supporting enterprise applications and collaborates with backend teams to adopt advanced data solutions.

Daily coding is expected along with establishing best practices, standards, and reference architectures. Opportunities exist to extend AI capabilities such as vector search and model serving on the data platform.