ML Data Engineer

S&P Global

Hyderabad

On-site

INR 15,000,000 - 25,000,000

Full time

14 days+

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Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Job summary

A leading company is seeking an ML Data Engineer to leverage technology in automating workflows and creating data-driven insights. The role involves collaborating with various stakeholders and driving innovative ML solutions within the Modelling and Data Science team. Ideal candidates will have extensive programming experience, particularly in Python, along with a solid understanding of big data technologies. Join a dynamic team to make impactful decisions in the energy and commodities markets.

Qualifications

7+ years programming experience, particularly in Python.
4+ years experience with SQL or NoSQL databases.
Strong understanding of big data technologies.

Responsibilities

Collect, clean, model, and visualize datasets.
Create data-driven insights using ML models.
Collaborate with teams to provide analytical assistance.

Skills

Python

SQL

NoSQL

Agile

Analytical Skills

Problem-Solving

Education

University degree in Computer Science

Engineering

Mathematics

Tools

Hadoop

Spark

Kafka

Airflow

Git

Tensorflow

PyTorch

Keras

Job description

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To work closely with various stakeholders to collect, clean, model and visualise datasets.
To create data driven insights by researching, designing and implementing ML models to deliver insights and implement action-oriented solutions to complex business problems
To drive ground-breaking ML technology within the Modelling and Data Science team.
To extract hidden value insights and enrich accuracy of the datasets.
To leverage technology and automate workflows creating modernized operational processes aligning with the team strategy.
To understand, implement, manage, and maintain analytical solutions & techniques independently.
To collaborate and coordinate with Data, content and modelling teams and provide analytical assistance of various commodity datasets
To drive and maintain high quality processes and delivering projects in collaborative Agile team environments.

About The Role

Grade Level (for internal use):

10

Responsibilities

To work closely with various stakeholders to collect, clean, model and visualise datasets.
To create data driven insights by researching, designing and implementing ML models to deliver insights and implement action-oriented solutions to complex business problems
To drive ground-breaking ML technology within the Modelling and Data Science team.
To extract hidden value insights and enrich accuracy of the datasets.
To leverage technology and automate workflows creating modernized operational processes aligning with the team strategy.
To understand, implement, manage, and maintain analytical solutions & techniques independently.
To collaborate and coordinate with Data, content and modelling teams and provide analytical assistance of various commodity datasets
To drive and maintain high quality processes and delivering projects in collaborative Agile team environments.

Requirements

7+ years of programming experience particularly in Python
4+ years of experience working with SQL or NoSQL databases.
1+ years of experience working with Pyspark.
University degree in Computer Science, Engineering, Mathematics, or related disciplines.
Strong understanding of big data technologies such as Hadoop, Spark, or Kafka.
Demonstrated ability to design and implement end-to-end scalable and performant data pipelines.
Experience with workflow management platforms like Airflow.
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 the Agile working environment
Experience working with git or other source control tools
Strong understanding of Object-Oriented Programming (OOP) principles and design patterns.
Knowledge of clean code practices and the ability to write well-documented, modular, and reusable code.
Strong focus on performance optimization and writing efficient, scalable code.

Nice To Have

Experience working with Oil, gas and energy markets
Experience working with BI Visualization applications (e.g. Tableau, Power BI)
Understanding of cloud-based services, preferably AWS
Experience working with Unified analytics platforms like Databricks
Experience with deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc.

About S&P Global Commodity Insights

At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.

We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.

S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit http://www.spglobal.com/commodity-insights.

What’s In It For You?

Our Purpose

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress.

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. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. 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

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our Benefits Include

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

Inclusive Hiring And Opportunity At S&P Global

At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, 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:EEO.Compliance@spglobal.comand your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdfdescribes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

IFTECH202.1 - Middle Professional Tier I (EEO Job Group)

Job ID: 314321

Posted On: 2025-04-23

Location: Hyderabad, Telangana, India

Seniority level