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Mid-level generalist fullstack role, metro Hyderabad, broad data/API/Angular skillset increases applicant competition.
Skills are moderately transferable across industries but require data-platform and analytics domain familiarity.
Multiple mandatory technical requirements and an explicit 6+ years experience make shortlisting highly strict.
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Develop and enhance Angular UI components for dataset discovery, schema preview, and interactive data browsing with integrated API services.
Design and build high-performance REST/GraphQL APIs supporting data access, metadata retrieval, and export workflows incorporating advanced features like pagination, filtering, and access controls.
Perform data validation and monitoring, investigate anomalies, implement data quality and observability improvements to ensure datasets are analytics-ready and governed.
6+ years of experience in data engineering or full-stack engineering roles with practical Angular expertise.
Hands-on experience with AWS technologies including Glue, S3, Lambda, API Gateway, and IAM.
Strong SQL skills and familiarity with Spark, Glue pipelines, Python, dbt, and data modeling approaches such as star schema and medallion architecture.
Experience with Git/GitHub workflows and knowledge of data lineage, metadata, and data quality practices.
Experienced full-stack or data engineer comfortable bridging data engineering with UI development and modern API design for consumer-facing analytics platforms.
Demonstrated ability to work collaboratively with data producers, analytics teams, and engineering partners to improve data accessibility, quality, and user experience.
Skilled in applying cloud-native AWS services and best practices to build scalable, secure, and performant data-driven applications.