Senior Data Engineer

About the role

Grade Level (for internal use): 10 The Team: The Data Engineering team expands and optimizes our data pipeline architecture, working collaboratively with cross-functional teams to build scalable data systems that support next-generation products and analytics initiative Responsibilities and Impact: As a Senior Data Engineer, you will directly contribute to the company's data infrastructure and analytics capabilities. By creating and maintaining optimal data pipeline architecture and building infrastructure for data extraction and transformation, you enable the organization to make informed business decisions based on accurate and reliable data. This role directly impacts our clients and markets by ensuring the availability of high-quality data for analysis and insights, leading to better product development, improved customer experiences, and informed decision-making. 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.

Requirements

• Technical Skills
• Minimum 4 years of experience in a data engineering role, with hands-on experience with distributed data processing / big data frameworks , 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: containerization technologies
• infrastructure as code tools
• CI/CD platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps
• Experience with modern Python API frameworks (such as FastAPI, Flask, or Django REST Framework ) 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
• NoSQL databases
• 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
• 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 sustainabilit

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