--- title: 'Senior Data Specialist - R01564577 at Brillio' canonical: 'https://feeny.ai/job/senior-data-specialist-r01564577-brillio-pune-f7zhs1km1f73' type: 'job' last_seen: '2026-09-13' --- # Senior Data Specialist - R01564577 at Brillio - **Company:** Brillio - **Location:** Pune, India - **Work type:** hybrid - **Posted:** 2026-04-27 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.lever.co/brillio-2/02dc2b72-660b-4ef0-8bdd-5a0128444a80 ## Job description Senior Software Development Lead Primary Skills - AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization - Azure Data Engineering Advanced: Senior Data Engineer Job requirements - Primary Duties and Responsibilities: · 10+ years of SQL Server ETL Development experience using SSIS, Azure Data Factory and Azure Databricks. Strong ETL, data warehouse, T-SQL skills. · Understanding of data warehouse and data mart architecture, and Kimball methodology. · 8+ years of strong hands-on experience building large-scale databases · Design, build and launch efficient & reliable data pipelines to move and transform data · Broad understanding and experience of data modeling, data management, ETL and BI · Experience in building enterprise data warehousing with table partitioning, encryption and data compression · Experience with cloud migration · Perform ongoing monitoring, automation and refinement of reports and BI solutions. · Work with BI Management to identify and resolve data related issues. · Work with business departmental teams to help them define and document business requirements for new metrics and reports. · Participate in process reviews and enhancements. · Provide analysis and issue resolution on business reported concerns. · Participate in design and delivery of cubes, dashboards and various self-service business intelligence solutions. Other: · Enforces established documentation guidelines and best practices. · Maintains a high degree of business functional knowledge and current automated technologies and tools. · Adheres to all policies and procedures concerning all confidential information including but not limited to internal use and restricted information Qualifications: Required · 7+ years of experience in working as Data Engineer for Enterprise DWH and BI project for both on prem and cloud (Azure) with minimum of 3+ years of hands-on experience in working on Microsoft Technologies (SQL Server, Synapse, SSIS, Data Factory, Data Bricks) · Hands on experience on scripting language python, C# or equivalent · Advanced level experience on MS SQL Server, MySql , or Oracle · Experience with Big Data Technologies (NoSQL databases, Hive, Hbase , Pig or Spark) · Exposure and hands on exposure to ETL using SSIS, Data Factory · Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads. · Experience of using one/more scalable (MPP) relational databases such as Synapse or Snowflake for advanced analytics · Working knowledge of application and system availability, scalability and distributed data platforms · Strong experience in data warehousing technologies, ETL/ELT implementations · Knowledge and experience with full SDLC lifecycle · Experience with Lean / Agile development methodologies · Experience in providing technical leadership and other engineers for the best practices on the data engineering space. Desired · Experience in defining new architectures and ability to drive an independent project from an architectural stand point · Familiarity with data modeling and ETL tools such as Erwin, Talend etc. · Support users with troubleshooting, tuning queries (partition, bucket recommendations etc.), · Experience with design and implementation of ETL/ELT framework for complex warehouses/marts. Knowledge of large data sets and experience with performance tuning and troubleshooting · Hands-on development mentality, with a willingness to troubleshoot and solve complex problems · CI / CD exposure · Excellent verbal and written communication skills ## 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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