ETL/Data QA Engineer
Luxoft (a DXC Technology Company)Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Validate ETL mappings, workflows, and data transformations to ensure accuracy and compliance with business and technical requirements.
Perform detailed source-to-target validation using SQL checks to verify data completeness, accuracy, and integrity for full and incremental loads.
Lead defect triage sessions and use Informatica PowerCenter and Python-driven automation to monitor, debug, and improve ETL and data quality processes.
Minimum Requirements
Bachelor's Degree in IT, Business, Computer Science, or related field.
5 to 8 years of experience in Software Quality Assurance with strong ETL validation and troubleshooting expertise using Informatica PowerCenter.
Proficiency with SQL (complex queries in Azure Databricks), Python automation, and Unix/Linux commands for job monitoring and log analysis.
Experience working in Agile and Waterfall environments with tools like Jira and Confluence integrated into automation testing frameworks.
Ideal Candidate Profile
Experienced in ETL and data warehouse testing with strong knowledge of data migration and BI reporting.
Demonstrates expertise in automating data validation using Python and AI-driven technologies within fast-paced Agile frameworks.
Senior-level tester with specific domain strength using Informatica PowerCenter, SQL on Azure Databricks, and collaborative defect resolution skills in hybrid methodologies.