Sr.Analyst Data Engineer, Cobol, Python - India
Nationwide Nationwide Career India1–3 yrsHyderabadOn-siteDirect career pageEst. 7–18 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and support business-critical enterprise applications using legacy (Cobol/Mainframe) and modern (Python, Java, Angular, Spring Boot) technologies in an agile environment.
- Develop and maintain scalable data pipelines for streaming and batch data including API integrations, ensuring data quality, security, and operational stability.
- Diagnose and resolve complex production and integration issues, contribute to release and operational readiness, and apply AI-assisted and secure software engineering practices.
Minimum Requirements
- Experience: 1-3 years relevant experience in data quality, data management, or data engineering fields.
- Technical skills: Experience with Cobol/Mainframe legacy systems, Python, Java, Angular, Spring Boot, APIs, microservices, CI/CD pipelines, monitoring tools, and vulnerability management.
- Education: Undergraduate degree in Computer Science, MIS, Business, Statistics, Math, or related field strongly preferred; Graduate studies are a plus.
- Work location: India-based, aligned to Indian business hours with hybrid/remote/in-office model; experience working in agile and global collaboration environments.
Ideal Candidate Profile
- Candidate proficient in end-to-end software development lifecycle including design, development, testing, deployment, and maintenance within complex integrated environments.
- Capability to translate business data requirements into technical solutions with attention to secure software practices and alignment with engineering and risk standards.
- Experience working effectively in fast-paced operational settings, leveraging AI-enabled tools for development, troubleshooting, automation, and security improvements.