ETL/Data QA Engineer
Luxoft (a DXC Technology Company)Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Validate ETL mappings, workflows, and data transformations to ensure accuracy and compliance with tech and business specs.
Perform source-to-target data validation using SQL and lead defect triage across development, business, and QA teams.
Leverage Informatica PowerCenter and Python-based automation to monitor, debug, and continuously enhance ETL and data quality processes.
Minimum Requirements
5 to 8 years of experience in Software Quality Assurance with a focus on ETL/Data QA.
Bachelor's degree in IT, Business, Computer Science, or related field.
Strong hands-on expertise in Informatica PowerCenter, advanced SQL querying (Azure Databricks), Python for automation, and ETL/data warehousing concepts.
Experience working in Agile and Waterfall environments with knowledge of testing tools like Jira and Confluence.
Ideal Candidate Profile
Experienced in complex ETL validation and troubleshooting with a strong understanding of data warehousing architectures and processes.
Skilled in scripting and automation (Python, AI-driven tools) to support scalable data quality assurance.
Comfortable in cross-functional settings coordinating between business, development, and QA teams in dynamic Agile environments.