Luxoft India
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Pune · On-site · 5-8 Yrs · 16 hours ago
Information Technology Support Services · 10000+ Employees · Zug, Switzerland
Luxoft, a DXC Technology Company, is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers globally. As part of DXC Technology (NYSE: DXC), Luxoft enables business transformation, enhances customer experiences, and boosts operational efficiency through its strategy, consulting, and engineering services. Luxoft combines a unique blend of engineering excellence and deep industry expertise to serve clients globally, specializing in automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications. Luxoft is well known for its consistent high level of delivery and complex project management, its premier digital engineering talent, exceptional client focus, and agility, creativity, and remarkable problem-solving capabilities.
Hiring: Engineering
What employees say
+ Work Life Balance Hybrid or WFH Model Onsite available if selected for the project No unnecessary Senior Mgmt Interference in day to day work Not much Luxoft work if you are billab
− No Increment since last 3 years No Promotion or Career growth Not much large project available in BFSI
More reviews on the company profile.
Interview experience · Lead Data Engineer
Hacker rank exam where 3 -4 portions Sql, pyspark, databricks Technical round : majorly in optimization Pm round : just for very forma discussion Client round : very very strong round , These 4 rounds is minimum
Average difficulty · Noida · 126 reports
More interview insightsJob description
Overview
Project description
Responsibilities
- 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.
- 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.
Qualifications
- 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
- Good communication and presentation skills
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Job application FAQ
Last updated 21 September 2026
- How do I apply for Data QA Engineer at Luxoft India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Luxoft India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data QA Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data QA Engineer remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data QA Engineer role at Luxoft India?
- This is a mid-level Data QA Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.