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Mid-level, popular data-engineer role in Hyderabad with broad cloud and pipeline skills attracts strong applicant density.
Core data engineering skills are transferable, but party/KYC regulatory domain increases domain specificity.
Requires explicit 3+ years plus mandatory AWS, data mastering and Python skills, creating moderate filtering.
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Design, build, and maintain scalable party reference data services and pipelines for client onboarding, KYC/AML, regulatory reporting, and operational efficiency.
Develop and enhance cloud-native data platforms using AWS services such as Glue, Lambda, EventBridge, S3, RDS, and MSK/Kinesis.
Lead modernization of legacy party data systems to cloud architectures; ensure data quality, resiliency, and compliance with privacy and regulatory standards.
3+ years’ experience in data engineering or software development with a focus on enterprise party/entity reference data domains.
Proficiency with AWS services: Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), MSK/Kinesis.
Experience with data mastering concepts including identity resolution and golden record management.
Work Experience Required: 3+ years in relevant domain. Notice period: Not explicitly mentioned in the JD.
Experienced in designing and operating secure, resilient, and maintainable cloud-based data solutions specifically around party reference data.
Hands-on with building data pipelines, APIs, event-driven architectures primarily using Python and AWS cloud services.
Capable of mentoring junior engineers and collaborating closely with architects, security, and business stakeholders in an agile delivery environment.