ETL/Data QA Engineer [Bangalore / Pune] - Immediate Joiner

Luxoft India; Bengaluru Urban; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Luxoft India is seeking a skilled ETL/Data QA Engineer to ensure data accuracy across our warehousing platforms. You will validate ETL mappings, run source-to-target checks, and drive data quality initiatives in collaboration with cross-functional teams.

The role requires hands-on experience with Informatica PowerCenter, SQL, Python, and AI-driven automation, plus strong communication skills to lead defect triage and continuous improvement efforts. On-site in Bengaluru.

Qualifications

• Bachelor's Degree in IT, Business, CS or related field.
• Software QA professional with 5–8 years' experience.
• Informatica PowerCenter expertise with strong ETL validation & troubleshooting.
• ETL concepts, data migration testing, warehouse testing, BI reporting.
• Strong SQL proficiency with Azure Databricks.
• Relational DB models and XML data models.
• Experience with test automation tools in Agile environments.
• Knowledge of testing lifecycle processes; Jira/Confluence familiarity.
• Excellent communication and presentation skills.
• Experience in Waterfall and Agile environments.

Responsibilities

• Validate ETL mappings, workflows, and transformations to meet requirements.
• Perform source-to-target SQL validation checks for completeness and accuracy.
• Execute ETL test cycles for full and incremental loads.
• Lead defect triage sessions across development, business, and QA teams.
• Utilize Informatica PowerCenter for ETL validation, debugging and monitoring.
• Apply ETL and data-warehousing concepts and best practices.
• Use Unix/Linux commands for job monitoring and log analysis.
• Leverage Python and AI for automation and testing scenarios.
• Analyze and document test data, results, and recommendations.
• Support integrated testing with test data and automation scripts.
• Drive continuous improvement by reviewing testing processes.

Skills

Informatica PowerCenter

SQL

Python

Azure Databricks

AI automation

Agile

Education

Bachelor's Degree in IT/CS

Tools

Jira

Confluence

Unix/Linux

Job 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.

Mandatory Skills Description:

• 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
• 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 Skills Description:

• Experience in the finance industry is highly desirable.