Senior Software Engineer- Python, Data Engineer

S&P Global, Inc.; Ahmedabad District; On-site; INR 1,200,000 - 1,700,000; Full time

Benefits offered by this job

Health & Wellness benefits

Flexible downtime

Continuous learning resources

Investment in your future: retirement,

Student loan contribution

Family-friendly perks

Job summary

S&P Global Energy is seeking a data engineer to design and maintain scalable data pipelines, integrating large datasets and ensuring data quality. You will build ETL/ELT processes using Python, SQL, and cloud platforms, and collaborate with cross-functional teams to empower analytics and product data infrastructure.

You will own the delivery of data products, drive performance improvements, and contribute to scalable, fault-tolerant data architectures while fostering a culture of collaboration

Qualifications

• 5+ years of experience in a data engineering role.
• Hands-on with distributed data processing / big data frameworks (Databricks).
• Proficient in Python and cloud data platforms (AWS/Azure/GCP).
• Experience with workflow orchestration / scheduling platforms.
• Familiar with GitHub, GitLab, Bitbucket, or Azure Repos.
• CI/CD in production using Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Strong understanding of RESTful APIs and API design.
• Knowledge of scalable, fault-tolerant data architectures.
• Experience with big data technologies: streaming, search/indexing, containers.

Responsibilities

• Design and maintain scalable data pipelines for efficient data flow.
• Assemble and integrate large datasets meeting functional and non-functional requirements.
• Build and optimize ETL/ELT processes using Python, SQL, and cloud services.
• Collaborate with Exec, Product, Data, and Design teams on data challenges.
• Develop tools/frameworks for analytics and data science teams.
• Lead project and stakeholder management to ensure timely delivery of data products.

Skills

Databricks

Python

Cloud data platforms

AWS

Azure / GCP

RESTful APIs

CI/CD

Git version control

Agile/Scrum

Distributed data processing

Tools

GitHub

GitLab

Bitbucket

Job description

About the Role

Grade Level (for internal use): 10 You will be responsible for: Design and maintain optimal data pipeline architecture to ensure efficient, scalable, and reliable data flow across the organization. Assemble and integrate large, complex datasets that meet both functional and non-functional business requirements, ensuring data quality and consistency. Build and optimize infrastructure for extraction, transformation, and loading (ETL/ELT) of data from diverse sources using SQL, Python, distributed data processing frameworks, cloud data platforms, and cloud services (such as AWS, Azure, or GCP). Collaborate with cross-functional stakeholders, including Executive, Product, Data, and Design teams, to address data-related technical challenges and support their data infrastructure needs. Develop data tools and frameworks for analytics and data science teams to empower them in building and optimizing products that position the company as an innovative industry leader. Partner with data and analytics experts to continuously enhance functionality, performance, and scalability of data systems. Lead project and stakeholder management activities, taking full ownership of the quality, timeliness, and successful delivery of data products and solutions.

What We’re Looking For

Technical Skills Minimum 5 years of experience in a data engineering role, with hands-on experience with distributed data processing / big data frameworks (Databricks), Python, cloud data platforms, and AWS or other cloud environments (e.g., Azure, GCP). Experience with workflow orchestration / scheduling platforms Experience working with version control systems such as GitHub, GitLab, Bitbucket, or Azure Repos. Experience maintaining and developing software in production environments utilizing CI/CD platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps Experience with modern Python API frameworks and strong understanding of RESTful services and good API design principles. Knowledge of system design concepts, including designing scalable, reliable, and fault-tolerant data architectures. Understanding of object-oriented programming principles and design patterns. Strong understanding of big data / distributed systems technologies, including: streaming & messaging platforms search & indexing / log analytics engines structured & unstructured data container orchestration platforms Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. Proficiency in building data transformation processes, data structures, and workload management. Strong ability to manipulate and extract insights from large datasets using SQL, Python, and distributed processing frameworks Professional Skills: Strong analytical and problem-solving skills. Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in Agile environments (e.g., Scrum, Kanban).

About S&P Global Energy

At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at www.spglobal.com/energy.

What’s In It For You

Our Mission: Advancing Essential Intelligence. Our People: We’re more than 35,000 strong worldwide—so we’re able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world’s leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.


• Flexible Downtime: Generous time off helps keep you energized for your time on.


• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.


• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.


• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.


• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [e-mail]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre‐employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:[e-mail] your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal

Job Details

20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) This is the site for former colleagues whose roles have been impacted by organizational changes to search for job opportunities with S&P Global. We are committed to providing impacted team members priority consideration for new opportunities. When applying, please create a login with your personal email address and select Redeployment in the section: “How did you hear about us?”.