We're seeking a seasoned Backend Data-Heavy Engineer with a strong .NET stack foundation
and a deep passion for data. You'll be instrumental in designing, developing, and optimizing
backend systems that efficiently handle massive volumes of data. Your expertise in SQL Server,
database design, and query optimization will be crucial for structuring and managing our
extensive database. Understanding business objectives and translating them into data-driven
solutions will be key to your success in this role.
Requirements
Responsibilities:
- Backend Development: Design, develop, and maintain robust, scalable, and
high-performance backend systems using primarily .NET technologies.
- Data Management: Work with massive datasets, implementing efficient data storage,
retrieval, and processing mechanisms.
- Database Design and Optimization: Structure and optimize our extensive SQL Server
database for optimal performance and scalability. Design efficient data models, indexes,
and query execution plans to handle large data structures effectively.
- Performance Optimization: Continuously monitor and optimize backend systems and
database queries for speed, efficiency, and scalability, ensuring seamless data handling
under heavy loads.
- Collaboration: Work closely with frontend developers, data scientists, and product
teams to understand requirements and deliver integrated solutions.
- Problem-Solving: Analyze and resolve complex technical issues related to data
management, backend systems, and performance bottlenecks at both the application
and database levels.
- Technology Exploration: Stay updated with the latest data-related technologies and
evaluate their potential for improving our systems.
- Business Alignment: Actively engage with business stakeholders to understand
objectives and translate them into technical solutions that leverage data insights.
Benefits
Qualifications:
- .NET Expertise: Proven experience in backend development using .NET technologies,
including C#, ASP.NET Core, and Entity Framework.
- SQL Server Mastery: Deep understanding of SQL Server, including database design,
T-SQL, stored procedures, indexing, and query optimization techniques.
- Data Handling: Strong understanding of data structures, algorithms, and database
design principles, including experience with SQL and NoSQL databases.
- Python Proficiency (Bonus): Familiarity with Python for scripting, data processing, or
machine learning tasks is a significant advantage.
- Elasticsearch or Similar (Bonus): Experience with Elasticsearch or other distributed
search and analytics engines is a plus.
- Problem-Solving: Excellent analytical and problem-solving skills, with the ability to
identify and resolve technical challenges effectively at both the application and database
levels.
- Communication: Strong communication skills, both written and verbal, for collaborating
with cross-functional teams and explaining technical concepts.
- Business Acumen: Ability to understand business objectives and translate them into
technical requirements and solutions.
- Passion for Data: A genuine interest in working with data, uncovering insights, and
contributing to data-driven decision-making.
Additional Information:
● Location: Remote work
- Competitive Compensation: We offer a competitive salary and benefits package
commensurate with experience.
- Growth Opportunities: You'll have the opportunity to work on challenging projects,
learn new technologies, and grow your career in a dynamic environment.