Senior Software Engineer- Python, Data Engineer

spgi; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

S&P Global Energy is seeking an experienced Data Engineer to design and maintain scalable data pipelines and ETL/ELT processes. You will work with cross-functional teams to assemble large, complex datasets and ensure data quality, enabling advanced analytics and product development.

Responsibilities include optimizing data infrastructure, collaborating with stakeholders, and delivering reliable data products. Strong experience with Python, Databricks, and cloud platforms is essential.

Qualifications

• Minimum 5 years of experience in a data engineering role.
• Experience with distributed data processing / big data frameworks (Databricks).
• Proficiency in Python, cloud data platforms, and AWS or other cloud environments.

Responsibilities

• Design and maintain data pipeline architecture for scalable data flow.
• Assemble and integrate large, complex datasets meeting business requirements.
• Build and optimize ETL/ELT processes across diverse sources.
• Collaborate with Executive, Product, Data, and Design teams to address data challenges.
• Develop data tools for analytics and data science teams.
• Lead project and stakeholder management for data products.

Skills

Data engineering

Distributed data processing

Python

Cloud platforms

AWS

CI/CD

RESTful APIs

SQL

Databricks

Git

Tools

GitHub

GitLab

Bitbucket

Jenkins

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. 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