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Senior QA Data Migration Engineer to join our high-performing team located in Lat Am. As a Senior Technical Consultant, you will drive the quality assurance strategy for complex data migration projects, moving legacy on‑premise data to modern AWS cloud architectures. You will participate in all aspects of the data lifecycle, including estimation, test strategy design, automated script implementation, data validation, and documentation. In a collaborative agile environment, you will take direction from Data Architects and Leads to ensure zero data loss and high fidelity for our clients. Responsibilities
Design, code, and execute automated test scripts to validate data integrity, completeness, and accuracy between source (Legacy/On‑Prem) and target (AWS Cloud) systems. Analyze and test ETL/ELT pipelines using AWS Glue, Lambda, or Step Functions to ensure data transformation logic meets business requirements. Develop robust automated testing frameworks using Python and SQL to perform row counts, column mapping, and checksum validations on large datasets. Validate data ingestion and storage flows involving AWS services such as S3, Redshift, RDS, and DynamoDB. Utilize AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT) to monitor replication tasks and identify discrepancies. Lead root cause analysis for data discrepancies, parsing log files (Cloud Watch), and working closely with Data Engineers to resolve ETL defects. Integrate data testing scripts into CI/CD pipelines (Git Lab/Azure Dev Ops). Utilize AI tools (Github Copilot, Anthropic Claude)



to optimize SQL queries and generate test data scenarios. Ensure technical data governance processes are followed and effectively communicate data quality metrics to non‑technical stakeholders. Qualifications
3–5+ years of experience in Data Quality, Data Engineering, or Backend QA. Strong proficiency in SQL (complex joins, stored procedures) and Python (Pandas, Boto3, PyTest) for scripting automated validations. Extensive experience with AWS data ecosystems, specifically S3, Glue, Redshift, Athena, and DMS. Experience with data testing tools such as Great Expectations, dbt tests, or custom Python frameworks. Strong debugging and investigative skills, with the ability to assimilate disparate information from database logs and error messages to find root causes of data skew or corruption. Experience with Agile/Scrum methodology and working with high‑volume datasets. Bachelor's Degree in Computer Science, Math, Engineering, Data Science, or comparable major. Excellent communication and consulting skills, able to explain complex data issues to various organizations. Benefits
Perficient full‑time employees receive complete and competitive benefits, including paid time off, holidays, and a generous work/life program. EEO Statement
Perficient, Inc. proudly provides equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, or status as a protected veteran in accordance with applicable federal, state and local laws.
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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qhvdx

📌 Latam - Sr. Qa Data Migration Engineer (Córdoba) (Argentina)
🏢 Perficient
📍 Argentina