Data Engineer-II (Python / AWS)
TinyURL (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 12–18 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable party reference data services and pipelines using AWS cloud-native technologies.
- Lead migration of legacy party data systems to modern cloud architectures, ensuring data quality, reliability, and compliance with regulations like KYC/AML/FATCA.
- Collaborate with architects, business stakeholders, and mentor junior engineers while contributing to engineering best practices and Agile processes.
Minimum Requirements
- Minimum 3 years experience in data engineering or software development focused on enterprise data platforms and party/entity reference data.
- Proficient with AWS services: Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), MSK/Kinesis.
- Hands-on experience with data mastering (identity resolution, golden record management) and building data pipelines/APIs mostly using Python.
- Work Experience Required: 3+ years; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing and operating secure, resilient, and maintainable cloud-based data platforms serving regulatory and operational use cases (KYC, AML, FATCA).
- Demonstrates strategic ownership by driving modernization from on-prem to cloud-native scalable data solutions and integrating third-party reference data sources.
- Capable mentor and collaborator who can operate within Agile delivery, influence engineering best practices, and communicate effectively across technical and business teams.