---
title: 'Senior Data Engineer - R01569889 at Brillio'
canonical: 'https://feeny.ai/job/senior-data-engineer-r01569889-brillio-bengaluru-18w4t6hnnhga'
type: 'job'
last_seen: '2026-10-18'
---

# Senior Data Engineer - R01569889 at Brillio

- **Company:** Brillio
- **Location:** Bengaluru, India
- **Work type:** hybrid
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.lever.co/brillio-2/f4c3ce9c-f87f-4dc8-aa2e-492d915146a7

## Job description

Senior Data Engineer

Primary Skills

- DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

- Snowflake Engineering: Senior Data Engineer

Job requirements

- Experience Range: With at least 5 to 8 years of experience designing, developing, and maintaining data integration and data warehouse solutions using IICS and Snowflake Key Responsibilities: 1. Design, develop, and maintain ETL/ELT pipelines using Informatica Intelligent Cloud Services (IICS) to support scalable data integration processes 2. Implement and optimize data integration workflows with IICS Cloud Data Integration (CDI), ensuring robust error handling, scheduling, and parameterization 3. Develop complex mappings, mapping tasks, taskflows, and reusable components for efficient data movement and transformation 4. Build and maintain Snowflake data warehouse solutions, including databases, schemas, tables, views, and stages to support business analytics 5. Write and optimize advanced SQL queries and Snowflake stored procedures to enable high-performance data processing and reporting 6. Implement data loading strategies from diverse source systems into Snowflake, including incremental loads, Change Data Capture (CDC), and Slowly Changing Dimensions (SCD) Type 1/Type 2 7. Perform data transformation, cleansing, validation, and reconciliation to ensure data quality and integrity 8. Troubleshoot ETL failures, data issues, and performance bottlenecks to ensure reliable data operations 9. Collaborate with business analysts, data architects, QA, and other technical teams to deliver end-to-end data solutions and support production deployments Required Skills: 1. Hands-on experience with Informatica Intelligent Cloud Services (IICS) and Cloud Data Integration (CDI) 2. Expertise in Snowflake data warehouse architecture and features including warehouses, stages, streams, tasks, time travel, and zero-copy cloning 3. Advanced SQL development and query optimization 4. Proficiency in ETL/ELT development and data warehousing concepts 5. Experience developing mappings, mapping tasks, and taskflows in IICS 6. Implementation of parameterization and error handling in ETL pipelines 7. Scheduling and automation of data integration workflows 8. Design and management of incremental and full data loads including SCD and CDC patterns Preferred Skills: 1. Experience with AWS or Azure cloud services for data integration and storage 2. Knowledge of AWS S3 or Azure Blob Storage for data ingestion 3. Familiarity with CI/CD and DevOps practices for ETL pipeline deployment 4. Proficiency in Python or scripting languages for automation 5. Experience with version control and automation tools such as Git, Jenkins, or Azure DevOps 6. Domain experience in Life Sciences or Pharmaceutical industry Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. Certification in Snowflake or Informatica Cloud Data Integration (preferred) 3. Certification in AWS or Azure cloud platforms (preferred)

## 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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