Apply on Kit Job: kitjob.in/job/45q4db

The Team

You will be an expert contributor and part of the Rating Organizations Data Services Product Engineering Team. This team, who has a broad and expert knowledge on Ratings organizations critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique chance to build and evolve S&P; Ratings next gen analytics platform.

Responsibilities:

- Architect, design, and implement innovative software solutions to enhance S&P; Ratings' cloud-based analytics platform.
- Mentor a team of engineers (as required), fostering a culture of trust, continuous growth, and collaborative problem-solving.
- Collaborate with business partners to understand requirements, ensuring technical solutions align with business goals.
- Manage and improve existing software solutions, ensuring high performance and scalability.
- Participate actively in all Agile scrum ceremonies, contributing to the continuous improvement of team processes.
- Produce comprehensive technical design documents and conduct technical walkthroughs.

Experience & Qualifications:

- Bachelors degree in computer science, Information Systems, Engineering, or a related field is required.
- Proficiency in software development lifecycle (SDLC) methodologies such as Agile and Test-driven development.
- Over 10 years of experience, including at least 4 years in designing and developing enterprise products, utilizing modern technology stacks and data platforms.
- A minimum of 4 years of hands-on experience in application architecture and design,



demonstrating knowledge of software and enterprise integration design patterns, as well as full-stack development, including contemporary distributed front-end and back-end technologies.
- At least 5 years of full-stack development experience in modern web technologies and frameworks, along with experience in SQL and various database systems.
- Experience in designing transactional systems, data warehouses, data lakes, and data integrations within a big data ecosystem, particularly leveraging cloud technologies.
- A thorough understanding of distributed computing concepts.
- A passionate and articulate developer with a quality-first mindset, possessing a strong background in developing scalable products for a global audience.
- Excellent analytical thinking, interpersonal skills, and strong oral and written communication abilities, with a proven ability to influence both IT and business partners.
- Superior knowledge of system architecture, object-oriented design, and design patterns.
- A strong work ethic, self-motivated, and results-oriented.
- Excellent communication skills are essential, with strong verbal and written proficiency.
- Experience with data lake systems and cloud technologies is a plus.

Additional Preferred Qualifications:

- Experience working with cloud platforms.
- Familiarity with Agile frameworks.
- Bachelors or postgraduate degree in Computer Science, Information Systems, or a related field.
- Hands-on experience in application architecture and design, with proven software and enterprise integration design principles.
- Ability to prioritize and manage tasks to meet critical project timelines in a fast-paced environment.
- Excellent analytical and communication skills are essential, with strong verbal and writing proficiency.
- Ability to train and mentor others.

Apply on Kit Job: kitjob.in/job/45q4db

📌 Lead Engineer, Data Engineering - Full Stack (Mumbai)
🏢 S&P Global Market Intelligence
📍 Mumbai