Data Engineer
S&P Global Market Intelligence · Hyderabad · onsite · Posted today
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
Requirements
Technical Expertise
Soft Skills
Preferred Qualifications
Grade Level (for internal use): 09
The Team: The Market Intelligence Industry Data Solutions business line provides data technology and services supporting acquisition, ingestion, content management, mastering, and distribution to power our Financial Institution Group business and customer needs. We focus on platform scalability to support business operations by following a common data lifecycle that accelerates business value. Our team provides essential intelligence for the Financial Services, Real Estate, and Insurance industries.
The Impact: The Data Engineering team will be responsible for implementing and maintaining services and tools to support existing feed systems. This enables users to consume FIG datasets and makes FIG data available for broader consumption and processing within the company.
What's in it for you: Opportunity to work with global stakeholders and engage with the latest tools and technologies.
Responsibilities
- Build new data acquisition and transformation pipelines using advanced data processing and cloud technologies.
- Collaborate with the broader technology team, including information architecture and data integration teams, to align pipelines with strategic initiatives.
Requirements
- Proficient in programming languages commonly used for data processing, data orchestration and workflow management systems, distributed data processing frameworks, relational database management systems, and big data processing frameworks.
- Experience with large-scale data processing platforms.
- Deep understanding of RESTful services, good API design, and object-oriented programming principles.
- Proficiency in object-oriented or functional scripting languages.
- Good working knowledge of relational and NoSQL databases.
- Experience in maintaining and developing software in production environments utilizing cloud-based tools.
- Strong collaboration and teamwork skills, along with excellent written and verbal communication abilities.
- Self-starter and motivated individual with the ability to thrive in a fast-paced software development environment.
- Agile experience is highly desirable.
- Experience with data warehousing and analytics platforms will be a significant advantage.
- Bachelor's degree in computer science or a related field, with at least 4+ years of professional software development experience.
Technical Expertise
- Data Engineering Expertise: Strong experience in distributed data processing and optimization using modern frameworks.
- Cloud Platforms: Proficient in leveraging cloud services for scalable data solutions, including ETL orchestration, containerized deployments, and data storage.
- Workflow Orchestration: Skilled in designing and managing complex data pipelines and workflows.
- Programming Scripting: Proficient in writing clean, modular, and testable code for data processing tasks.
- Database Management: Solid understanding of both relational and non-relational databases, including data querying and modeling.
- ETL Data Architecture: Proven ability to design and implement robust ETL pipelines and optimize data models for performance and scalability.
Soft Skills
- Excellent communication skills - able to articulate technical concepts to non-technical stakeholders.
- Strong interpersonal skills - collaborative, empathetic, and team-oriented.
- Demonstrated ability to work on challenging projects and go the extra mile to deliver results.
Preferred Qualifications
- Experience with CI/CD pipelines, Github and DevOps practices is must.
- Familiarity with data lake and data warehouse architectures.
- Exposure to real-time data processing frameworks, and observability tools like Grafana is added advantage.
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Skills
AgileContent ManagementCI/CD Pipelinescloud platformscloud servicescloud technologiesapi designArticulateanalytics platformsAnalyticscloudCommunication SkillsArchitecturecomplianceBusiness OperationsBig Data