Senior SQL Developer: Performance, ETL & Data Solutions

Machine Learning Technologies, LLC

Phoenix (AZ)

On-site

USD 90,000 - 130,000

Full time

Just now
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Benefits offered by this job

Health insurance

Job summary

Machine Learning Technologies, LLC is seeking an experienced SQL Developer with strong expertise in database development, query optimization, and data management.

Design, develop, and maintain SQL Server databases, write complex queries, stored procedures, and ETL processes. You will collaborate with business and technical teams to ensure data accuracy, performance, and security across critical data systems.

Qualifications

  • 5+ years of SQL development and database management experience.
  • Strong hands-on experience with SQL Server and T-SQL.
  • Ability to write complex queries, joins, subqueries and stored procedures.
  • Knowledge of performance tuning, indexing and optimization.
  • Experience with ETL tools is preferred.

Responsibilities

  • Design, develop, and maintain SQL queries, stored procedures, functions, and triggers.
  • Develop and manage relational databases using Microsoft SQL Server.
  • Perform query optimization and database performance tuning.
  • Analyze data requirements and develop efficient database solutions.
  • Implement backup, recovery, and security procedures.
  • Troubleshoot issues and ensure data integrity.
  • Collaborate with developers, business analysts, and technical teams.
  • Support ETL processes and data integration activities.

Skills

SQL
T-SQL
SQL Server
Query optimization
ETL
Data modeling
Debugging

Education

Bachelor's degree in Computer Science
Master's degree preferred

Tools

SSIS
SSRS

Job description

Machine Learning Technologies, LLC is seeking an experienced SQL Developer with strong expertise in database development, query optimization, and data management.

Design, develop, and maintain SQL Server databases, write complex queries, stored procedures, and ETL processes. You will collaborate with business and technical teams to ensure data accuracy, performance, and security across critical data systems.

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