ML Data Engineer

 
About the Role: 
Grade Level (for internal use):
10Responsibilities:

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.

:

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 toolkitsTensorflow, PyTorch, Keras, etc.

About S&P Global Commodity InsightsAt 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.
Were 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 (NYSESPGI). S&P Global is the worlds 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 worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today.For more information, visit http://www.spglobal.com/commodity-insights .Whats In It For
You
Our Purpose:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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:
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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Health & WellnessHealth care coverage designed for the mind and body.

Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills.

Invest in Your FutureSecure 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 PerksIts 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 BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visithttps://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.Recruitment Fraud Alert
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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.com and 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.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
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