Azure SQL Database Engineer

Tranzeal, Inc.
Los Angeles, United States of America
17 days ago

Role details

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

Job location

Los Angeles, United States of America

Tech stack

Artificial Intelligence
Azure
Databases
Data as a Services
Data Architecture
Database Design
Database Models
Microsoft SQL Server
SQL Azure
NoSQL
Systems Development Life Cycle
Query Optimization
Cloud Services
SQL Stored Procedures
SQL Databases
Azure
System Availability
Database Optimization
Database Performance
Indexer

Requirements

We are looking for a Database Engineer with deep expertise in SQL Server and Azure cloud technologies to join our product engineering team. This role is ideal for someone who thrives in a fast-paced, AI-enhanced SDLC and is passionate about building scalable, secure, and high-performance applications., Design, implement, and optimize SQL Server databases for high availability, scalability, and performance.

Lead and support Azure migration efforts for legacy databases and data services.

Develop and maintain cloud-native data solutions using Azure SQL, Azure Data Factory, Cosmos, and other relevant services.

Operate in an AI driven SDLC environment:

Experience in database engineering with a focus on SQL Server.

Strong understanding of database design, indexing, query optimization, and stored procedures.

Strong experience in Database Modeling using 3rd Normal form with solid experience in data architect.

Experience in No SQL experience such as COSMOS.

Having solid knowledge of SQL Internals in Azure SQL Database Hyperscale

Strong experience in optimizing database queries and stored procedures including monitoring database performance both system and database standpoint.

Has strong experience using SQL Server side Trace.

Proven experience with Azure SQL, Azure Data Factory, and cloud-native data architectures.

Expertise in reviewing stored proc performance, reading execution plans and making optimizations

Designing and writing high performance SQL queries and table designs

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