C#/.Net Engineer

7 days ago

Islamabad, Islamabad, Pakistan S&P Global Full time

Join to apply for the C#/.Net Engineer role at S&P Global

About The Role

Grade Level (for internal use): 09

The Team: Our team is responsible for the design, architecture, and development of data products using a variety of tools that are regularly updated as modern technologies emerge. Every day you will have the opportunity to work with people from a wide variety of backgrounds and will be able to develop a close team dynamic with coworkers from around the globe.

Responsibilities And Impact

  1. Implement robust software components for data-driven systems, ensuring efficiency and maintainability.
  2. Conduct technical analysis and articulate solutions, designing engineering patterns that can be leveraged across multiple product offerings with a high volume of end-users.
  3. Optimize and enhance existing solutions, proactively identifying and resolving complex technical challenges while weighing trade-offs in cost, performance, and scalability.
  4. Develop reusable components and services, adhering to corporate engineering standards, best practices, and modern development frameworks.
  5. Apply software engineering best practices, leveraging automation in testing, deployment, and monitoring to ensure reliable and efficient solution delivery.
  6. Collaborate cross-functionally with technical and non-technical stakeholders, effectively communicating complex concepts through documentation, diagrams, and code comments.

What We're Looking For

Basic Required Qualifications:

  1. Bachelor's or master's degree in computer science, Information Systems, or a related field.
  2. 3+ years of hands-on experience in backend development, building scalable and high-performance systems using C# / .NET Core
  3. Advanced SQL programming skills with experience in database performance tuning for large datasets.
  4. Proficiency in relational database management systems (MS SQL, PostgreSQL, or similar).

Additional Preferred Qualifications

  1. Exposure to Big Data technologies such as Hadoop, Databricks, Spark/Scala, Nifi.
  2. Understanding of cloud computing environments such as AWS, Azure, or GCP.
  3. Working knowledge of Docker and containerized deployments.
  4. Familiarity with large-scale messaging systems like Kafka, RabbitMQ, or commercial equivalents.

About S&P Global Market Intelligence

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

For more information, visit www.spglobal.com/marketintelligence.

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