Lead Data Engineer
- S&P Global Market
- 8 - 13 years
- Hyderabad
- 3 months ago
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Job Description
- 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.
- Bachelors degree in computer science or a related field, with at least 8+ years of professional software development experience.
- Must have:
Programming languages commonly used for data processing,
Data orchestration and workflow management systems,
Distributed data processing framework, relational database management systems,
B ig 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.
- 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.
- 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.
- 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.
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: S&P Global MarketLocation(s): Hyderabad
Keyskills: continuous integration rest github devops ci cd pipeline cloud services software development data processing ci/cd data warehousing data architecture relational databases nosql grafana agile api etl scripting languages data lake
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S&P Global Market
S&P Capital IQ, a business line of The McGraw-Hill Companies (NYSE:MHP), is a leading provider of multi-asset class and real time data, research and analytics to institutional investors, investment and commercial banks, investment advisors and wealth managers, corporations and universities aroun...
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