Offer summary

Qualifications:

Proven experience in backend development using .NET technologies, including C#, ASP.NET Core, and Entity Framework., Deep understanding of SQL Server, including database design, T-SQL, stored procedures, indexing, and query optimization techniques., Strong understanding of data structures, algorithms, and database design principles, with experience in SQL and NoSQL databases., Excellent analytical and problem-solving skills, with strong communication abilities for cross-functional collaboration..

Key responsabilities:

Design, develop, and maintain robust, scalable backend systems using .NET technologies.

Implement efficient data storage, retrieval, and processing mechanisms for massive datasets.

Structure and optimize SQL Server databases for performance and scalability, including designing data models and query execution plans.

Collaborate with frontend developers, data scientists, and product teams to deliver integrated solutions that meet business objectives.

Job description

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

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.

Required profile