Evnek - Data & AI/ML QA Engineer in भारत

Role : Data Quality EngineerExperience : 3 - 7 YearsLocation : BengaluruNotice Period : Immediate Joiners PreferredJob Description : We are looking for an experienced Data Quality & AI Validation Engineer with 3 - 7 years of experience in data testing, SQL-based validation, data pipeline testing, and AI/ML output verification. The ideal candidate will have strong hands-on expertise in SQL, Snowflake, and dbt testing, with the ability to independently validate analytical findings, reconcile data against source systems, and ensure the accuracy, consistency, and traceability of data-driven https://jobeax.com/link/ru5GUQcYM0jBK7Pi role focuses on validating data pipelines, analytics outputs, business rules, and AI-generated recommendations rather than traditional application or UI testing. Experience evaluating AI/ML or LLM-generated outputs against ground truth is highly https://jobeax.com/link/geoNksFqu25iyuZh Responsibilities : - Independently validate analytical findings, rule dispositions, and data-driven outputs against source data.- Write and execute complex SQL queries to verify analysis results and reconcile outputs using Snowflake.- Perform hands-on dbt testing, including schema tests, data tests, assertions, and custom validation rules.- Implement data-quality checks for uniqueness, not-null constraints, referential integrity, accepted values, and other business rules.- Identify and investigate duplicate records, expired or invalid records, data inconsistencies, and false positives in detection logic.- Perform data reconciliation by validating row counts, edge cases, source-to-target mappings, and output consistency.- Test data pipelines, ETL/ELT transformations, and analytics outputs to ensure accuracy, completeness, and reliability.- Build validation checks into dbt pipelines to ensure findings are reproducible and traceable to source data.- Validate AI/ML and LLM-generated outputs by comparing sampled results against ground truth and expected outcomes.- Evaluate AI-agent recommendations for accuracy, consistency, reliability, and potential failure patterns across repeated runs.- Identify, document, investigate, and report data-quality issues, incorrect findings, and inconsistencies.- Maintain data lineage, traceability, and validation evidence to support auditability and reproducibility.- Collaborate with Data Engineers, Analytics Engineers, Data Scientists, and AI/ML teams to improve data quality and validation https://jobeax.com/link/MirvQRp3VJnXim2b Skills : - 3 - 7 years of experience in Data Testing, Data Quality Engineering, ETL/ELT Testing, or Analytics Validation.- Strong SQL skills, with the ability to independently write queries against Snowflake and validate analytical findings.- Hands-on experience with dbt testing, including schema tests, data tests, assertions, and custom data-quality checks.- Strong understanding of data-quality validation, including duplicate detection, invalid or expired records, inconsistencies, and false-positive identification.- Experience in data reconciliation, including row-count verification, source-to-target validation, edge-case testing, and output consistency checks.- Experience testing data pipelines, data transformations, and analytical outputs rather than focusing on application or UI testing.- Ability to independently investigate data discrepancies and verify that findings are correct, reproducible, and supported by source data. (ref:hirist.tech)