---
title: 'Lead Analytics Engineer - R01572950 at Brillio'
canonical: 'https://feeny.ai/job/lead-analytics-engineer-r01572950-brillio-bengaluru-dgzwmqc99wjr'
type: 'job'
last_seen: '2026-11-01'
---

# Lead Analytics Engineer - R01572950 at Brillio

- **Company:** Brillio
- **Location:** Bengaluru, India
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-11-01
- **Apply:** https://jobs.lever.co/brillio-2/4c88f951-cea1-4659-aa09-1b6761019726

## Job description

Lead Analytics Engineer

Primary Skills

- Jmeter, App monitoring tools, Performance Reporting, HP Load Runner

Specialization

- Quality Engineering - Performance Testing: SDET

Job requirements

- Experience Range: With at least 4 to 6 years of experience in quality engineering, including hands-on data pipeline, BI, and MDM testing expertise Key Responsibilities: 1. Develop and maintain comprehensive test strategies, test plans, test cases, and test data for data engineering pipelines, Microsoft Fabric workloads, Power BI reports, and MDM solutions 2. Perform source-to-target data validation, record-count checks, aggregate comparisons, null checks, duplicate detection, and business-rule validation to ensure data accuracy and completeness 3. Test Microsoft Fabric pipelines, notebooks, transformations, incremental loads, error handling, and recovery scenarios for functional correctness 4. Validate Power BI reports, semantic models, DAX calculations, filters, drill-through behavior, refreshes, and security configurations 5. Test Profisee MDM functionality, including matching, merging, survivorship, golden records, data quality rules, and stewardship workflows 6. Implement automated testing for data pipelines and reports using SQL, Python, or platform-supported testing capabilities 7. Build reusable test scripts and regression suites to improve test coverage and reduce manual testing effort 8. Identify, document, prioritize, and track defects with reproducible steps, supporting evidence, and clear expected versus actual results 9. Coordinate with developers, business analysts, and technical leads on defect triage, root-cause analysis, retesting, and closure 10. Maintain requirements-to-test traceability and provide test execution summaries, defect metrics, and quality status reports 11. Support UAT by preparing test scenarios, validating fixes, and coordinating business acceptance evidence 12. Contribute to continuous improvement in testing practices, automation coverage, and defect prevention Required Skills: 1. Strong SQL skills for data validation, reconciliation, and investigation 2. Experience testing ETL/ELT pipelines, data warehouses, and data transformations 3. Hands-on expertise with Microsoft Fabric workloads and Power BI report testing 4. Proficiency in automating test scripts and regression suites using Python or similar scripting languages 5. Experience with test management and defect tracking tools such as Jira or Azure DevOps 6. Knowledge of MDM solutions testing, including Profisee or comparable platforms 7. Experience designing test cases, executing regression testing, and preparing test reports Preferred Skills: 1. Experience with cloud-based data platforms and testing environments 2. Knowledge of CI/CD pipelines for automated testing integration 3. Familiarity with semantic model optimization and DAX performance tuning in Power BI 4. Exposure to Agile methodologies and collaborative testing practices 5. Certification in data quality or BI testing frameworks Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. Certification in software testing or data quality assurance (such as ISTQB Advanced Level Test Analyst or equivalent) 3. Relevant certification in BI platforms (such as Microsoft Certified: Data Analyst Associate or similar)

## About Brillio

## Company Overview
- **One-liner**: Brillio is a digital transformation consulting and technology services company that helps Fortune 1000 enterprises accelerate AI adoption and scale impact through its AI accelerator platform, ADAM.
- **Entity Type**: Private (backed by Bain Capital Private Equity)
- **Headquarters**: Dallas, Texas, United States
- **Founded**: 2014
- **Founders**: Not publicly disclosed (CEO: Raj Mamodia)

## Core Business
- **Primary industries**: IT Services and IT Consulting; Digital Transformation; AI and Data Engineering; Customer Experience Transformation; Digital Engineering; Infrastructure Engineering
- **Target customers**: Fortune 1000 enterprises (B2B, Enterprise)
- **Mission / purpose statement**: “The Enterprise AI Accelerator” – helping companies move from AI ambition to scaled impact, faster.

## Products & Services
- **ADAM (Agentic Data and Application Management)**: A self-service LLM model garden and GenAI platform for building, testing, and deploying over a hundred GenAI use cases at scale. Core accelerator for Brillio’s delivery.
- **Business-led transformation**: Strategy consulting and business process modernization.
- **Customer experience transformation**: Design, digital product engineering, and omnichannel experience.
- **AI and data engineering**: Predictive models, enterprise search, RAG systems, AI copilots, autonomous agents, multi-agent workflows.
- **Digital engineering**: Application modernization, platform engineering, cloud-native development.
- **Infrastructure engineering**: Cloud infrastructure, security, MLOps/LLMOps, and observability.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (privately held)
- **Key Metric**: Annual revenue reported at **$1B** (latest available); total employees ~3,941 (+6.7% YoY) per LinkedIn, though company claims “over 6,000 customer-obsessed professionals” on its website.
- **Notable Investors / Partners**: Bain Capital Private Equity (parent company); Great Place to Work® certified in the USA.
- **Growth Signals**: +352 employees YoY; 14 delivery locations across North America, Europe, and Asia; expanding AI engineering roles; 616,797 LinkedIn followers (+24.4% yearly growth).

## Competitive Advantages
- **Enterprise AI focus**: Industrializing AI across every layer of the business – not just building demos but shipping production systems.
- **ADAM platform**: Proprietary accelerator that enables rapid deployment of GenAI use cases, shortening time-to-value for clients.
- **End-to-end ownership**: Engineers design, build, evaluate, and run agentic and GenAI systems that reach live users.
- **Scale and reach**: Global delivery footprint (USA, India, UK, Europe, Mexico, Canada, Romania) with deep Fortune 1000 client relationships.

## Strategic Focus
- **AI engineering at scale**: Moving AI from pilots to production with a focus on agentic systems, LLMOps, evaluation, security, and governance.
- **Continuous learning**: Brillio Academy, hackathons, mentoring, and certifications to keep skills current.
- **Talent development**: Hiring based on demonstrated ability (not just degrees); clear career paths from engineer to AI architect or technical leadership.
- **Diversity & inclusion**: Committed to a diverse, inclusive workplace; no discrimination based on protected characteristics.

## Why Work Here
- **Culture**: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
- **Work environment**: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
- **Learning & growth**: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
- **Remote / hybrid / office**: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
- **Benefits**: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
- **Interview process**: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.

## Sources
1. [careers.brillio.com](https://careers.brillio.com/)
2. [brillio.com/about-us/who-we-are](https://www.brillio.com/about-us/who-we-are/)
3. [linkedin.com/company/brillio](https://linkedin.com/company/brillio)
4. [glassdoor.com/Reviews/Brillio-Reviews-E821879](https://www.glassdoor.com/Reviews/Brillio-Reviews-E821879.htm)
5. [wikipedia.org/wiki/Brillio](https://en.wikipedia.org/wiki/Brillio)

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