Data Engineer, Marketing

Grade Level (for internal use): 09

The Role: Data Engineer II

The Team: Our Data Engineering Team is a dynamic group of professionals dedicated to building innovative and scalable data solutions. We pride ourselves on our expertise in cloud technologies, particularly AWS and Snowflake, and our commitment to data security and governance. Our team thrives on collaboration, working closely with business and technical stakeholders to drive impactful data initiatives. We value continuous learning and are always exploring new technologies, such as AI-driven models and advanced data visualization tools, to enhance our data platforms and deliver exceptional results.

The Impact: At S&P Global, we don't give you intelligence—we give you essential intelligence. The essential intelligence you need to make decisions with conviction. We're the world's foremost provider of credit ratings, benchmarks and analytics in the global capital and commodity markets. Our divisions include S&P Global Ratings, S&P Global Market Intelligence, S&P Dow Jones Indices and S&P Global Platts. For more information, visit www.spglobal.com.

As part of this role, you will be designing and implementing scalable data architectures that align with strategic objectives, enhancing overall business performance. Utilize your expertise in Snowflake, Python, and cloud technologies to ensure robust data security and integrity. Drive innovation by integrating AI-driven models and optimizing data workflows, thereby improving data processing efficiency and supporting informed decision-making across the organization.

What's in it for you: As a Data Engineer, you will be at the forefront of transforming our data landscape, playing a crucial role in shaping the future of our data-driven strategies. Engage in exciting projects that leverage cutting-edge technologies like AI and cloud platforms to optimize data operations. Benefit from a collaborative and innovative work environment that encourages professional growth and values your contributions to achieving strategic goals. Enjoy opportunities to expand your skills and make a significant impact on our organization's success.

Responsibilities:

• Design and implement scalable and efficient data systems, ensuring robust data architecture.
• Develop innovative data products that align with business goals and enhance data accessibility.
• Ensure data integrity and confidentiality through expert application of data security and encryption protocols.
• Leverage cloud technologies, particularly AWS, to optimize data operations and enhance performance.
• Implement and manage RBAC security models within Snowflake to maintain secure data environments.
• Collaborate across business and technical teams to ensure effective communication and project delivery.
• Manage large-scale data projects from inception to completion, ensuring timely and successful outcomes.

Required Skills:

• Bachelor's degree in software engineering, Computer Science, or a related field, or 5+ years of experience in data engineering.
• 5+ years of experience working with Snowflake in a data engineering capacity.
• Strong proficiency in data architecture and demonstrated experience in data product development.
• Advanced proficiency in Python and SQL for data transformation and analytics.
• Deep understanding of RBAC security models and secure data connection protocols (JDBC, ODBC, etc.).
• Excellent communication skills for effective collaboration across diverse teams.
• Exposure to systems integrations for seamless data interoperability.
• Proficiency in query optimization and algorithmic efficiency.

Preferred Qualities:

• Knowledge of machine learning for integrating basic models into data processes.
• Strong collaborative skills and the ability to work effectively in team-oriented environments.
• Experience with Cortex AI, LLM tools, and developing Streamlit applications.
• Familiarity with data governance, security, and compliance best practices.
• Certifications in Snowflake, data engineering, or related fields.
• Experience with data visualization tools like Tableau or Power BI, and ELT/ETL tools such as Informatica.

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.