- We are looking for an experienced Data / AI/ML Tester with 4-7 years of experience in data testing, ETL/ELT testing, software testing, and AI/ML validation.
- The candidate should have strong hands-on expertise in SQL, Snowflake, dbt testing, data quality validation, and data pipeline testing. The role involves validating data transformations, ETL/ELT pipelines, analytical outputs, AI/ML model predictions, and data integrity against source systems.
- The candidate should be capable of performing reconciliation, identifying duplicates, invalid or expired records, inconsistencies, false positives, and edge cases. Experience in validating AI/ML or LLM-generated outputs, measuring accuracy against ground truth, identifying failure patterns, and checking response consistency is preferred.




- The role also requires collaboration with Data Engineers, Data Scientists, ML Engineers, and development teams, along with defect tracking, test automation, and CI/CD testing exposure.
- Experience with Snowflake, data lineage, cataloguing, and regulated data environments will be an added advantage.
- Solid SQL; hands-on Snowflake data validation; hands-on dbt testing including schema tests, data tests, and assertions; data-quality validation; data reconciliation including row counts and source-to-target validation; testing of data pipelines and

Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote

📌 Data Quality Engineer (Mumbai)
🏢 Evnek
📍 Mumbai