Evnek - Data Quality Engineer in Bangalore, भारत

Key Responsibilities :- Independently write complex SQL queries in Snowflake to validate analysis findings and reconcile outputs with source data.- Perform end-to-end data-quality validation across source, transformation, and target layers.- Develop and execute dbt schema tests and data tests, including uniqueness, not-null, referential-integrity and accepted-value validations.- Identify duplicates, invalid or expired records, inconsistencies, missing data and false positives in detection logic.- Perform detailed reconciliation using row counts, aggregates, source-to-target comparisons and edge-case validations.- Validate data pipelines, transformation logic, analytical datasets and downstream outputs.- Investigate data-quality issues, identify root causes and work with data engineering/analytics teams on resolution.- Maintain clear evidence and documentation of test scenarios, findings, reconciliation results and defects.- Where applicable, validate AI/ML or LLM-generated outputs by sampling against ground truth, measuring accuracy, identifying failure patterns and checking consistency across repeated runs.- Support data lineage, traceability and data-cataloguing https://jobeax.com/link/w1d7bRHtPmfLc8oX Skills :- 3-7 years of relevant experience in data testing, data validation, data engineering QA or analytics quality assurance.- Strong hands-on SQL skills with the ability to independently investigate and reconcile data.- Practical experience working with Snowflake.- Hands-on experience with dbt testing, including schema tests, data tests and assertions.- Strong understanding of data-quality dimensions and validation techniques.- Experience identifying duplicates, invalid/expired records, inconsistencies and false positives.- Strong reconciliation skills, including source-to-target validation, row counts, aggregates and edge cases.- Experience testing data pipelines and analytics outputs, rather than primarily UI/application https://jobeax.com/link/CcxQz1UcD8lR9OZ8 Skills :Experience validating AI/ML or LLM-generated results is strongly preferred, particularly ground-truth comparison, accuracy measurement, failure-pattern analysis and consistency testing. Familiarity with Snowflake tooling and exposure to data cataloguing, lineage and traceability will also be https://jobeax.com/link/ClN0P9l1dF8szeMm of supply chain, ERP/SAP or regulated data environments is an advantage, especially the ability to identify outputs that appear technically plausible but are incorrect from a business perspective. Familiarity with Dagster or similar orchestration tools is also desirable. (ref:hirist.tech)