Senior Software Engineer- Python, Data Engineer

S&P Global, Inc.; India; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Job summary

S&P Global Energy is seeking a Data Engineer to design and maintain scalable data pipelines and integrate large datasets across the organization. You will build robust ETL/ELT processes using SQL, Python, distributed data frameworks, and cloud platforms such as AWS, Azure, or GCP.

You will partner with executives, product, and analytics teams to deliver high-quality data products, drive data quality, and ensure timely delivery.

Qualifications

• Minimum 5 years of experience in a data engineering role.
• Hands-on with distributed data processing / big data frameworks (Databricks).
• Proficient in Python, cloud data platforms, and AWS/Azure/GCP environments.
• Experience with workflow orchestration platforms and version control systems.
• Knowledge of RESTful services and API design.

Responsibilities

• Design and maintain optimal data pipeline architecture for scalable data flow.
• Assemble and integrate large, complex datasets ensuring data quality and consistency.
• Build and optimize ETL/ELT processes across diverse sources using SQL, Python, and cloud services.
• Collaborate with executives, product, data, and design teams to address data-related challenges.
• Develop data tools and frameworks for analytics and data science teams to empower product innovation.
• Partner with data and analytics experts to enhance functionality and performance of data systems.
• Lead project and stakeholder management, ensuring timely delivery of data products.

Skills

Databricks

Python

Cloud platforms

AWS

Azure

GCP

Workflow orchestration

Git

CI/CD

REST APIs

System design

Streaming

Container orchestration

SQL

Big data

Tools

Databricks

Python

Cloud data platforms

AWS

Azure

GCP

Git

CI/CD

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:

At S&P Global, we are committed to fostering a connected andengaged 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.

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] and your request will be forwarded to the appropriate person.

US Candidates Only: Know Your Rights: Workplace discrimination is illegal