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Metro Hyderabad market and broad mid-level fullstack/data skillset increases applicant competition.
Fullstack and data engineering skills are broadly transferable, though finance domain familiarity helps.
Explicit 6+ years and mandatory Angular, data engineering, AWS, and Snowflake skills create strict screening.
Develop and enhance Angular UI components for dataset discovery, schema preview, and interactive data browsing to improve user experience.
Build and optimize REST and GraphQL APIs for data access, metadata retrieval, and export workflows including implementing pagination, filtering, and access control.
Perform data validation, monitoring, and quality checks integrating schema and drift detection to ensure datasets are analytics-ready and governed.
6+ years experience in data engineering or full-stack engineering roles with practical Angular expertise.
Proficient with AWS services Glue, S3, Lambda, API Gateway, and IAM.
Strong SQL skills with Snowflake, PostgreSQL, or similar databases; experience with Spark, Glue, Python, and dbt pipelines.
Knowledge of data modeling (star schema, semantic layers), data quality practices, and familiarity with Iceberg table format.
Experienced full-stack engineer comfortable working at the intersection of data engineering, UI development, and API design in complex analytics environments.
Ability to collaborate cross-functionally with data producers, analytics teams, and engineers to improve data consumer experience and dataset accessibility.
Proven track record applying modern cloud technologies (AWS) and data governance frameworks to enhance data discoverability and quality in fast-paced settings.