Database Engineer

Tranzeal, Inc.
Santa Monica, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Santa Monica, United States of America

Tech stack

Third Normal Form
Azure
Cloud Engineering
Software Quality
Databases
Continuous Integration
Data Architecture
Information Engineering
Data Infrastructure
Data Integration
ETL
Database Models
Distributed Data Store
Microsoft SQL Server
SQL Azure
Performance Tuning
Query Optimization
Cloud Services
SQL Stored Procedures
Data Streaming
T-SQL
Azure
GitHub Copilot
Software Troubleshooting
Database Performance
Indexer
Cosmos DB
Database Monitoring

Job description

We are seeking a Database Engineer with strong expertise in SQL Server, Azure SQL, Azure Data Factory, and Cosmos DB to design, optimize, and support scalable cloud-native data solutions. The ideal candidate has experience with database architecture, performance tuning, Azure migrations, and modern data platforms., * Design, develop, and optimize SQL Server databases for performance, scalability, and reliability.

  • Lead Azure database migration and modernization initiatives.
  • Build and maintain cloud-native data solutions using Azure SQL, Azure Data Factory, and Cosmos DB.
  • Develop high-performance database schemas, stored procedures, and queries.
  • Monitor, troubleshoot, and optimize database performance.
  • Collaborate with engineering teams to support application and data integration requirements.
  • Utilize AI-assisted development tools to improve productivity and code quality.

Requirements

  • 10+ years of database engineering experience.
  • Strong expertise in SQL Server, T-SQL, stored procedures, indexing, and query optimization.
  • Experience with Azure SQL Database, Azure Data Factory, and Cosmos DB.
  • Strong knowledge of database modeling, data architecture, and 3rd Normal Form (3NF).
  • Experience reviewing execution plans and tuning high-volume databases.
  • Knowledge of Azure SQL Hyperscale and cloud-native database architectures.
  • Experience with database monitoring, performance troubleshooting, and migrations.
  • Experience with distributed databases, ELT/ETL tools, and data streaming technologies.
  • Familiarity with GitHub Copilot or AI-assisted development tools.
  • Knowledge of CI/CD, Azure DevOps, and modern data engineering practices.

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