QA Data Automation Engineer

We are looking for a QA Data Automation Engineer to join our Data Team in a dynamic and challenging role, providing critical test coverage for Orca’s data pipelines, reporting layers, and analytics solutions.

In this role, you will be responsible for validating data integrity end-to-end — from raw ingestion and transformation layers to dashboards and downstream consumers. You will design and maintain automated tests to ensure accurate, reliable, and scalable data systems

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Key Responsibiliti

• esDevelop and maintain automated QA tests for data pipelines, transformations, and data product
• s.Validate data flow across the system, including: ingestion, transformations, reports/dashboard
• s.Perform data quality testing (completeness, consistency, accuracy, timeliness, schema validation
• ).Write and execute SQL-based tests to validate logic, joins, aggregations, metrics, and anomalie
• s.Build automation frameworks and validation scripts using Pytho
• n.Work closely with Data Engineers and Analytics/BI stakeholders to define test coverage and acceptance criteri
• a.Investigate failures and data issues, providing clear RCA and actionable bug report
• s.Document test plans, test scenarios, expected results, and automation coverag
• e.Track issues in Jira, including reproducible steps and supporting evidenc
• e.Continuously improve QA processes for better monitoring, reliability, and faster release

s.
Requireme

• nts4+ years of QA experience, including experience with automation or data validation flo
• ws.QA Methodology knowledge (STP, QA cycl
• es)Proven experience testing data systems (ETL/ELT pipelines, DWH, analytics platforms, BI report
• s).Strong SQL skills – ability to write complex queries for validation and troubleshooti
• ng.Strong Python skills – writing scripts/tests for automated validations (pytest is a plu
• s).Hands-on experience working with Data Lakes / Data Warehouses such as Snowflake (preferre
• d).Strong understanding of bug lifecycle management using Ji
• ra.High attention to detail, critical thinking, and problem-solving minds
• et.Excellent communication skills and ability to work cross-functionally in a fast-paced environme

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Nice to

• HaveKnowledge of cloud platforms (A
• WS).Experience working with large-scale datasets, partitions, and performance tun