Job Summary:
Total Quality Logistics is seeking a Senior Database Engineer to work closely with development teams on the design, development, testing, and implementation of in-house application code. The role focuses on enhancing database performance and stability while supporting data storage and access needs primarily using SQL Server, MongoDB, and Elasticsearch.
Responsibilities:
• Partner with application development teams to ensure the delivery of robust, data-intensive OLTP applications.
• Provide technical expertise(e.g.schema design, query optimization, indexing, stress testing, etc)in SQL Server, MongoDB, Elasticsearch, and other DBMS platforms.
• Assist in understanding and implementing the proper database platform based on data storage, data retrieval, and availability requirements.
• Create and enforce database standards pertaining to nomenclature, security, and access methods (paging, caching, etc).
• Conduct performance/stress testing in partnership with App Dev and Performance Engineers.
• Identify and translate the data needs of development teams into structured requests ensuring timely delivery.
• Ad hoc troubleshooting of database related issues in non-prod.
• Liaise with the Database Administration team to guarantee the infrastructure can support current and future application development.
Qualifications:
Required:
• Bachelor’s degree or higher is preferred or relevant work experience.
• Exceptional aptitude for learning new tools/technologies.
• Excellent verbal and written communication skills.
• Experience with ORMs such as Entity Framework.
• 3 to 5 years of professional experience using SQL Server or other relational database platforms.
• 1 to 3 years of professional experience using MongoDB, Elasticsearch or other NoSQL database platforms.
• Knowledge of database design principles, data modeling, and normalization.
• Familiarity with containerization/orchestration tools (e.g., Docker, Kubernetes, Tilt).
• Familiarity with DevOps practices and tools (e.g.git, Azure Devops, Pipelines).
• Experience with scripting languages (e.g.Python, PowerShell) for automation tasks.
• Exposure to and understanding of AI models to accelerate growth (e.g. Custom skills, tool sets,etc)
• In-depth knowledge of performance-tuning queries and optimizing indexes.
Company:
The logistics industry is a $500 billion market. Founded in 1997, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 employees. The company is currently Late Stage.