Engineer II, Data
TinyURL (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable party reference data services and pipelines supporting client onboarding, KYC/AML, regulatory reporting, and operational efficiency.
- Develop and enhance cloud-native data solutions on AWS (Glue, Lambda, EventBridge, S3, RDS Aurora/Postgres, MSK/Kinesis) and migrate legacy data systems to cloud.
- Collaborate with architects, leads, and stakeholders; mentor junior engineers; ensure data quality, resilience, compliance, and best engineering practices.
Minimum Requirements
- 5+ years experience in data engineering or software development focused on enterprise data platforms.
- 3+ years experience building data pipelines, APIs, and event-driven architectures, preferably using Python.
- Hands-on experience with party or entity reference data domains and AWS services (Glue, Lambda, EventBridge, S3, RDS Aurora/Postgres, MSK/Kinesis).
- Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in party reference data managing regulatory use cases such as KYC, AML, FATCA with strong knowledge of data mastering concepts (identity resolution, golden records).
- Proficient in cloud-native and relational data stores, modern DevOps practices including CI/CD and infrastructure-as-code (Terraform preferred).
- Able to independently solve complex technical challenges and mentor junior developers in a collaborative, team-oriented, Agile environment.