Senior Database Application Developer

Impact:
You will enable S&P Global to showcase our proprietary data, combine it with curated alternative data, enrich it with value-added services, and deliver it through clients preferred channels. This will help clients make better investment and business decisions with confidence.

• Actively participate in all scrum ceremonies and effectively follow agile best practices.
• Play a key role in the development team to build high-quality, high-performance, scalable code.
• Produce technical design documents and conduct technical walkthroughs.
• Document and demonstrate solutions using technical design documents, diagrams, and stubbed code.
• Collaborate effectively with technical and non-technical stakeholders.
• Respond to and resolve production issues.

• A minimum of 5 to 9 years of significant experience in application development.
• Proficient with software development lifecycle (SDLC) methodologies, including agile and test-driven development.
• Experience working with high-volume data and computationally intensive systems.
• Experience in optimizing memory management and performance tuning in programming.
• Proficiency in development environments, including integrated development environments (IDEs), version control systems, continuous integration, unit testing tools, and defect management tools.
• Domain knowledge in the financial industry and capital markets is a plus.
• Excellent communication skills are essential, with strong verbal and writing proficiencies.
• Ability to mentor teams, innovate, experiment, and present business ideas to key stakeholders.

• Strong skills in developing solutions involving relational database technologies.
• Experience building data pipelines.
• Familiarity with cloud-managed services and platforms.
• Ability to develop custom solutions for data processing and integration.
• Experience in developing scalable and performant data APIs.
• Proficiency in writing infrastructure as code for development environments.
• Experience providing analytical capabilities using business intelligence tools.
• Capability to manage data delivery at scale to geographically distributed clients.

• Familiarity with front-end technologies and API development.
• Understanding of microservices architecture and cloud technologies.
• Experience with big data and analytics solutions.
• Knowledge of relational and NoSQL databases.
• Familiarity with data orchestration and processing frameworks.