Data QA Engineer

Luxoft; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Luxoft is seeking an ETL/Data QA Engineer to ensure data accuracy across data warehousing and integration platforms. You will validate ETL mappings, perform source-to-target checks using SQL, and lead data-quality cycles in fast-paced Agile environments.

The role requires hands-on experience with Informatica PowerCenter, Python, Unix/Linux, and AI-driven automation, plus collaboration with cross-functional teams to drive continuous improvement in data quality and testing processes.

Qualifications

• Bachelor's degree in IT, CS, or related field.
• 5–8 years in Software Quality Assurance with data testing.
• Informatica PowerCenter expertise with ETL validation and troubleshooting.
• Extensive ETL, data migration, data warehousing, and BI reporting experience.
• Extensive experience with Python-based data automation.
• SQL queries across Azure Databricks to compare source and target data.
• Proficient in relational databases, XML data models.
• Experience with Jira/Confluence and automation testing frameworks.
• Good communication and presentation skills; experience in Agile/Waterfall.

Responsibilities

• Validate ETL mappings, workflows, and transformations to ensure requirements.
• Perform source-to-target validation with SQL-based checks for data integrity.
• Execute ETL test cycles including data-quality checks for full/incremental loads.
• Lead defect triage sessions and coordinate with teams for resolution.
• Use Informatica PowerCenter for validation, debugging, and workflow monitoring.
• Apply ETL/data-warehousing concepts and best practices.
• Use Unix/Linux commands for job monitoring and log analysis.
• Leverage Python and AI to support automation and advanced testing.
• Document test data, results, and recommendations for decisions.
• Support integrated testing with test data, training data, and automated scripts.
• Drive continuous process improvements in testing workflows.

Skills

ETL Validation

Informatica PowerCenter

Python scripting

SQL querying

Azure Databricks

Unix/Linux commands

Data quality testing

Agile / Waterfall

Jira / Confluence

Communication skills

Education

Bachelor's Degree in IT / CS

Tools

Informatica PowerCenter

Azure Databricks

SQL

Jira

Confluence

Job description

Project description

The ETL/Data QA Engineer will be responsible for ensuring the accuracy, reliability, and quality of data processed through the organisation's data warehousing and integration platforms. Operating within established testing and governance frameworks, the engineer will validate ETL processes, conduct detailed source-to-target data verification, and contribute to continuous improvements in data quality practices. This role demands strong hands-on experience with Informatica PowerCenter, SQL, Python, and AI-driven automation, as well as the ability to collaborate effectively with cross-functional teams.

Responsibilities

• - Validate ETL mappings, workflows, and transformations to ensure compliance with business and technical requirements.- Perform source-to-target validation by conducting SQL-based data checks to verify completeness, accuracy, and data integrity.- Execute ETL test cycles, including data-quality checks for both full and incremental data loads.- Lead defect triage sessions, facilitating timely resolution and communication among development, business, and QA teams.- Utilize Informatica PowerCenter for ETL validation, debugging, and workflow monitoring.- Apply ETL and data-warehousing concepts, demonstrating a strong understanding of principles, architecture, and best practices.- Use Unix/Linux commands for job monitoring, log analysis, and operational support.- Leverage Python and AI expertise to support automation, data validation, and advanced testing scenarios.- Analyze and document test data, results, and recommendations to aid decision-making.- Support integrated testing by creating and maintaining test data, training data, and automated scripts.- Drive continuous improvement by reviewing testing processes and recommending enhancements.

SKILLS

Must have

• Bachelor's Degree in IT, Business, Computer Science, or a related field
• Software Quality Assurance professional with 5 to 8 years' experience
• Informatica PowerCenter expertise with strong ETL validation and troubleshooting capability
• Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting
• Extensive experience in data automation using Python
• High level of Proficiency in writing complex SQL queries in Azure Databricks from Business requirements to read data from source DB hosted in Azure and compare it with the target DB
• Proficiency in relational database models, SQL queries, XML data models
• Extensive experience with software test automation tools and working in fast-paced Agile environments
• Good knowledge of testing lifecycle processes
• Experience with Atlassian tools (Jira and Confluence) and integrating them into automation testing frameworks
• Good communication and presentation skills
• Experience in Waterfall and Agile environments

Nice to have

Experience in the finance industry is highly desirable.