Junior Test Engineer

• Execute data validation queries to compare Source (Yellowbricks / Informatica outputs) vs Target (Databricks / Snowflake / dbt outputs)
• Perform row-count checks between source and target tables
• Perform aggregate validations (sums, counts, averages, distinct counts, min/max)
• Perform sample and cell-level comparisons for critical entities and fields
• Validate schema consistency (data types, lengths, precision/scale, nullable fields, constraints)
• Log discrepancies, analyze patterns, and work with developers to support root-cause analysis
• Understand Informatica mappings and workflows and their expected outputs
• Validate dbt models (staging, core, marts) on Snowflake against legacy Informatica outputs
• Test Databricks notebooks/jobs that replicate Yellowbricks logic — ensuring correct transformations, joins, filters, and aggregations
• Validate CDC / incremental loads: new, changed, and deleted records are handled correctly
• Execute functional tests to verify correct application of business rules after migration
• Perform regression testing for each migration wave to ensure that previously validated data and flows remain correct
• Support integration testing across layers: Source → Databricks / Snowflake
• dbt → Snowflake → downstream reports or extracts
• Validate downstream outputs (if in scope): reports, extracts, or interfaces that consume migrated data
• Assist in executing basic performance tests for key queries and jobs (e.g., comparing runtime vs baseline)
• Monitor pipeline runs for job failures, retries, and data volume anomalies
• Execute test cases, record results, and maintain traceability to requirements
• Log defects with clear steps, data samples, and evidence (screenshots/SQL) in the defect tracking tool (e.g., JIRA, Azure DevOps)
• Retest resolved defects and support regression runs
• Maintain test case repositories, test data sets, and execution logs for audit and re-use
• Participate in daily stand-ups / defect triage with onshore/offshore teams

• 2-4 years of experience in Software Testing / QA
• At least 2+ years in Data Warehouse / ETL testing
• Practical experience in data migration / data platform modernization projects is strongly preferred
• Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters)
• Hands-on experience testing on at least one data platform such as Snowflake, Databricks, or other cloud DW/Big Data platforms
• Exposure to Informatica (understanding mappings/workflows and expected outputs)
• Exposure to dbt or willingness to learn dbt-based validations
• Good understanding of data warehouse concepts: facts/dimensions, SCDs, aggregations, grain, source-to-target mapping
• Familiarity with test management and defect tracking tools (e.g., Azure DevOps, JIRA, TestRail, qTest)
• Experience with Excel or similar tools for managing validation results and reconciliation artifacts
• Strong attention to detail and a structured approach to validation
• Ability to analyze data discrepancies and collaborate with developers to narrow down issues

Experience with Snowflake/Databricks is a plus