Looking for your next career move in ETL Testing, BI Testing, SQL, Data Validation, and Data Warehousing? 📊
Here’s an exciting opportunity from Bold for experienced QA Engineers and Senior QA Engineers (BI Team) who want to work on enterprise-grade Business Intelligence platforms and modern data engineering solutions.
If you have strong expertise in ETL Testing, SQL Queries, Data Validation, Reporting Validation, Data Warehousing Concepts, and BI Testing, this opportunity can significantly accelerate your QA career.
🏢 About Bold
Bold is a global technology company that develops innovative digital products and software solutions across multiple industries. The company focuses on delivering scalable platforms, data-driven solutions, and customer-centric products while maintaining high engineering and quality standards.
With teams spread across different countries, Bold provides employees with opportunities to work on enterprise applications, cloud technologies, analytics platforms, and modern software development practices. Employees also benefit from collaborative work environments, continuous learning, career growth opportunities, and exposure to global projects.
💼 Job Overview
Company: Bold
Role: QA/SQA Engineer – BI Team (ETL / BI Tester)
Employment Type: Full-Time
Experience: 2.5–6.5 Years
Location: Noida
Work Mode: Hybrid / Onsite
🎯 Why This Role is Great for Experienced Professionals
Working as a BI QA Engineer is very different from traditional web application testing.
Here you’ll gain experience in:
• 📊 Enterprise Data Warehousing
• 📈 Business Intelligence Platforms
• 🔄 ETL Testing
• 🗄️ Database Validation
• 📉 Dashboard Testing
• ☁️ Cloud Data Platforms
• 🚀 Enterprise Reporting Systems
• 📦 Data Migration Testing
• 📚 Modern QA Processes
💰 Expected Salary Range
Although Bold has not officially disclosed the compensation, based on current market trends in Noida:
| Experience | Expected CTC |
|---|---|
| 2.5–4 Years | ₹7–11 LPA |
| 4–5 Years | ₹10–14 LPA |
| 5–6.5 Years | ₹13–18 LPA |
Actual salary depends on technical expertise, interview performance, previous compensation, and overall fit.
🧠 Skills Required
Candidates should possess strong knowledge in:
Core Technical Skills
• ETL Testing
• BI Testing
• SQL Queries
• Complex SQL
• Data Validation
• Data Reconciliation
• Source to Target Validation
• Data Warehousing
• Dimensional Modeling
• Reporting Validation
• Dashboard Testing
• Snowflake
• Oracle
• SQL Server
• Amazon Redshift
• Functional Testing
• Regression Testing
• Smoke Testing
• UAT
• Integration Testing
• STLC
• SDLC
• Agile
• Scrum
• JIRA
• Excel
📋 Key Responsibilities
As a QA Engineer (BI Team), you’ll be responsible for:
• Creating detailed ETL test plans
• Designing comprehensive test cases
• Validating ETL source-to-target mappings
• Verifying data transformation logic
• Executing manual test scenarios
• Performing data reconciliation
• Testing BI reports and dashboards
• Writing advanced SQL queries
• Identifying data inconsistencies
• Collaborating with BI Developers
• Working closely with Business Analysts
• Logging defects in JIRA
• Supporting Agile sprint activities
• Maintaining QA documentation
• Validating production releases
🔍 Expected Interview Rounds
Most candidates can expect the following hiring process:
Round 1 – HR Screening
• Resume discussion
• Current project
• Notice period
• Salary expectations
• Communication assessment
Round 2 – SQL Technical Interview
Questions may include:
• Complex SQL Queries
• Joins
• Window Functions
• CTEs
• Stored Procedures
• Query Optimization
• Data Validation Techniques
Round 3 – ETL Testing Interview
Topics may include:
• Source-to-Target Mapping
• ETL Lifecycle
• Data Warehouse Concepts
• Fact & Dimension Tables
• Slowly Changing Dimensions (SCD)
• Data Reconciliation
• Data Quality Checks
Round 4 – BI Testing Discussion
Interviewers may assess:
• Dashboard Validation
• Report Testing
• KPI Verification
• Aggregation Logic
• Data Accuracy
• Business Rule Validation
Round 5 – Managerial Interview
Discussion around:
• Project Experience
• Problem Solving
• Team Collaboration
• Agile Experience
• Client Communication
• Ownership Mindset
Round 6 – HR Discussion
• Compensation
• Offer Discussion
• Joining Timeline
📚 Preparation Tips
To maximize your chances:
• Practice writing advanced SQL queries daily.
• Revise ETL concepts thoroughly.
• Understand source-to-target mapping validation.
• Study Data Warehouse architecture.
• Learn Fact vs Dimension tables.
• Review Star Schema and Snowflake Schema.
• Practice report validation scenarios.
• Prepare examples of data reconciliation.
• Revise Agile methodology.
• Be comfortable explaining previous ETL testing projects.
• Brush up on JIRA workflows.
• Review BI reporting tools such as Tableau and Sisense.
• Learn basic Python automation concepts to stand out.
• Prepare examples where you identified critical production defects.
📝 Resume Tips
Recruiters generally spend only a few seconds reviewing resumes. Make yours stand out by:
• Highlighting ETL Testing experience prominently.
• Mentioning BI Testing projects clearly.
• Listing SQL expertise with real project examples.
• Quantifying achievements (e.g., “Validated 50M+ records with 99.9% accuracy”).
• Including Data Warehouse technologies used.
• Mentioning reporting tools like Tableau, Sisense, or SAP BO.
• Adding JIRA and Agile experience.
• Including automation exposure (Python/QuerySurge) if applicable.
• Keeping the resume ATS-friendly with relevant keywords.
Recommended ATS Keywords:
ETL Testing, BI Testing, SQL, Data Validation, Data Reconciliation, Snowflake, Oracle, SQL Server, Redshift, Tableau, Sisense, Data Warehouse, Functional Testing, Regression Testing, Agile, JIRA, STLC, SDLC, Dashboard Testing, Source to Target Validation, Reporting Validation.
🌟 Why Join Bold?
Some key advantages include:
• 🌍 Global technology company
• 💼 Enterprise-scale projects
• 📈 Strong career growth opportunities
• 🤝 Collaborative work culture
• ☁️ Exposure to cloud data platforms
• 📊 Modern BI technologies
• 🧠 Learning-focused engineering environment
• 💻 Hybrid work model
• 🚀 Opportunity to work with experienced data engineering teams
📩 How to Apply?
Interested candidates can apply using either of the following methods:
👉 Application Link: Click Here
📧 Email Your Resume:
khushi.agarwal@bold.com
Before applying, ensure your resume highlights:
• ETL Testing experience
• SQL expertise
• BI Testing projects
• Data Validation experience
• Reporting tools
• Relevant certifications (if any)
• Current notice period
• Current location
• Contact details
🎯 Final Thoughts
If you’re an experienced QA professional with a passion for ETL Testing, BI Validation, SQL, Data Warehousing, and Reporting Quality Assurance, this opportunity at Bold is worth considering. The role offers exposure to enterprise data platforms, modern BI ecosystems, and collaborative Agile teams, making it an excellent step toward senior QA and data quality engineering positions.
Whether your goal is to become a Senior QA Engineer, ETL Test Lead, Data Quality Specialist, or BI Automation Expert, this role provides valuable hands-on experience with enterprise-scale testing practices and modern data technologies. Good luck with your application! 🚀
