Data Engineer
Skills
Azure Data FactoryComputer ScienceConsumer TextilesDatabasesModelingMongodbOptimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience delivering production solutions
- BS in Computer Science
- Strong production experience with MS SQL Server
- Hands-on MongoDB experience
- Experience with schema design query writing stored procedures indexing and performance tuning
- Experience with Azure data stack such as Azure Data Factory and Microsoft Fabric preferred
- Working proficiency in Python for scripting automation and pipeline support
- Experience with Git GitHub and automated deployment pipelines
- Experience with agile methods and continuous delivery
- Strong verbal and written communication skills
- Experience with security testing performance JSON and REST
- Strong focus on data quality test strategy and test automation
Nice to have
- Detail-oriented
- Collaborative
- Problem solver
- Quality-focused
- Simplicity-minded
- Fast-paced
Day to day
- Support data engineering execution across complex application development initiatives while aligning data models integrations and pipelines to architectural standards.
- Design and build robust data models stored procedures and database objects that support application and reporting needs.
- Develop and maintain SQL Server and MongoDB solutions including schema design indexing query optimization document modeling and data access patterns.
- Participate in code and schema reviews and help create new data pipelines APIs and data management tools in an agile continuous delivery environment.