
Data Systems Engineer
3 days ago
This role is focused on delivering robust data pipelines to support Private Markets and Fundamental data.
The successful candidate will be responsible for designing, developing, and implementing scalable data systems that meet the needs of our clients.
Key Responsibilities- Design and implement data pipelines using industry-standard tools and technologies.
- Develop and maintain high-quality software components and services.
- Collaborate with cross-functional teams to ensure timely and accurate delivery of financial datasets.
- Bachelor's/PG degree in Computer Science or equivalent.
- 6-9 years of experience in application development using oracle or Microsoft technologies.
- Proficient with software development lifecycle (SDLC) methodologies like Agile, Scrum, Test-driven development.
- Strong command of essential technologies: SQL, AWS EC2, S3, RDS, Redshift, AWS Lambda and Step functions, Terraform, Python/Java, T-sql, PL/SQL.
Our team is responsible for delivering S&P Global data via structured feeds, with a focus on Private Markets and Fundamental Data. Our mission is to ensure timely, accurate, and scalable delivery of high-value financial datasets to clients and internal platforms.
The ImpactThis role plays a critical part in accelerating the migration of data delivery channels to cloud-native infrastructure, enabling faster, more scalable, and resilient distribution of S&P Global's financial datasets. By modernizing legacy systems and embracing cloud technologies, this role directly contributes to:
- Improved performance and reliability of data feeds.
- Greater agility in responding to client and market needs.
- Enhanced security and compliance through cloud-native best practices.
- Future-proofing the data delivery ecosystem for innovation and growth.
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