Description:
Our Marketing & Data Technology department at S&P Global is dedicated to driving innovation and ensuring the seamless integration and management of data across our commercial and marketing platforms. Our team values collaboration, continuous learning, and a commitment to excellence. We pride ourselves on our ability to adapt quickly to technological advancements and our focus on delivering high-quality data solutions to our clients.
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.