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Backend Engineer (Data-Heavy)

Posted 2024-09-09

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💎 Seniority level: Senior

🔍 Industry: Technology / Software Development

🗣️ Languages: English

Requirements:
  • 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.
  • Experience with SQL and NoSQL databases.
  • Familiarity with Python for scripting, data processing, or machine learning tasks is a significant advantage.
  • Experience with Elasticsearch or other distributed search and analytics engines is a plus.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills for collaborating with cross-functional teams.
  • Ability to understand business objectives and translate them into technical requirements.
  • A genuine interest in working with data and contributing to data-driven decision-making.
Responsibilities:
  • 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.
  • Monitor and optimize backend systems and database queries for speed and efficiency.
  • Collaborate with frontend developers, data scientists, and product teams to deliver integrated solutions.
  • Analyze and resolve complex technical issues related to data management and performance bottlenecks.
  • Stay updated with the latest data-related technologies for system improvement.
  • Engage with business stakeholders to understand and translate business objectives into technical solutions.
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📍 Poland, Croatia, Estonia, Lithuania, Portugal

🏢 Company: Nacre Capital

  • .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.
  • 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.

  • 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.
  • Performance Optimization: Continuously monitor and optimize backend systems and database queries for speed, efficiency, and scalability.
  • 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.
  • 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.

Backend DevelopmentSQLASP.NETC#AlgorithmsAsp.NETData Structures.NETCommunication SkillsCollaboration

Posted 2024-10-16
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