Data Engineer
S&P Global (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 6h ago
Reach people at S&P Global
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at S&P Global you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data acquisition and transformation pipelines using advanced data processing and cloud technologies.
- Support existing data feed systems to enable broader consumption and processing of Financial Institution Group (FIG) datasets.
- Collaborate with technology teams to align data pipelines with strategic initiatives for platform scalability and business operations.
Minimum Requirements
- Bachelor’s degree in computer science or related field.
- Minimum 4+ years of professional software development experience.
- Proficiency in programming languages for data processing, workflow management systems, distributed data processing frameworks, relational and NoSQL databases.
- Experience with cloud-based production environments, CI/CD pipelines, and DevOps practices.
Ideal Candidate Profile
- Experienced in large-scale distributed data processing and optimization using modern frameworks.
- Able to design and manage complex ETL and data pipelines leveraging cloud platforms with strong data architecture skills.
- Capable of collaborating with cross-functional technology teams and communicating technical concepts effectively to stakeholders.