--- title: 'Senior Data Specialist - R01568221 at Brillio' canonical: 'https://feeny.ai/job/senior-data-specialist-r01568221-brillio-bengaluru-krage4y9fahk' type: 'job' last_seen: '2026-09-13' --- # Senior Data Specialist - R01568221 at Brillio - **Company:** Brillio - **Location:** Bengaluru, India - **Work type:** hybrid - **Posted:** 2026-07-23 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.lever.co/brillio-2/d4365f37-bf3d-4f21-a93d-988fc150e32d ## Job description Senior Data Engineer Primary Skills - CI/CD Pipeline, CSS/SCSS/LESS, PyTest, PostgreSQL / MongoDB / Redis, REST API / GraphQL Specialization - Python Fullstack with Microservices: Software Development Lead Job requirements - We are seeking an experienced Lead Data Engineer to take end-to-end ownership of Enterprise Data Warehouse (EDW) solutions. This role will be responsible for designing, architecting, and optimizing scalable, secure, and high-performance data pipelines using SAP BODS, IBM DataStage, Redwood, SQL, Oracle, and modern data platforms. The ideal candidate will combine strong hands-on technical expertise with leadership capabilities to drive data engineering best practices and deliver enterprise-grade data solutions aligned with business objectives. ## Key Responsibilities 1. EDW Architecture & Data Engineering - Design and implement scalable data integration and transformation frameworks for the Enterprise Data Warehouse. - Architect and optimize ETL/ELT pipelines using SAP BODS and IBM DataStage. - Develop and maintain robust data models (Star/Snowflake schemas, SCD implementation). - Ensure high availability, reliability, and performance of data pipelines. - Implement data governance, security, and compliance standards. 1. ETL Development & Optimization - Develop complex data workflows and transformations. - Perform performance tuning of ETL jobs and SQL queries. - Optimize batch processing and scheduling using Redwood. - Implement error handling, logging, and monitoring mechanisms. - Manage incremental loads and data reconciliation processes. 1. Database & SQL Development - Write and optimize complex SQL queries, stored procedures, and functions. - Work extensively with Oracle databases and related technologies. - Design and manage indexing strategies and query optimization. - Support database performance analysis and tuning. 1. Leadership & Team Management - Lead and mentor a team of data engineers. - Conduct code reviews and enforce development standards. - Drive technical best practices and architecture governance. - Collaborate with cross-functional teams including BI, Analytics, and Application teams. - Participate in sprint planning, estimation, and technical roadmap discussions. 1. Stakeholder Collaboration - Work closely with business stakeholders to gather and translate requirements into technical solutions. - Provide technical guidance and solution recommendations. - Ensure alignment between enterprise data strategy and business goals. - Support production issue resolution and root cause analysis. Required Skills Technical Expertise - Strong experience with SAP BODS - Hands-on experience with IBM DataStage - Experience with Redwood scheduling - Advanced SQL development - Strong expertise in Oracle database - Deep understanding of Enterprise Data Warehouse architecture Data Engineering Concepts - Data modeling (Star/Snowflake schema, SCD Types) - ETL/ELT best practices - Data quality frameworks - Performance tuning and optimization - Data security and governance standards ## Preferred / Good to Have - Experience with modern cloud data platforms (Azure, AWS, GCP) - Knowledge of Snowflake, Databricks, or Synapse - CI/CD implementation for data pipelines - Exposure to data cataloging and metadata management tools - Experience in Agile/Scrum methodologies ## Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. - 5+ years of experience in Data Engineering. - 2+ years of experience in leading technical teams. ## Key Competencies - Strong architectural and analytical skills - Leadership and mentoring capability - Excellent communication and stakeholder management - Problem-solving mindset - Ability to drive enterprise-scale data initiatives Please Note This is L3 support project Flexibility to work in rotational shift is mandatory ## 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. 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