Data Engineer
₹2,500,000 – ₹3,000,000 / yr base salary
Posted 13 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 12–15 yrs
- Management level
- Individual contributor
- Contract
- Full-time
| Base salary | ₹2,500,000 – ₹3,000,000 / yr |
|---|
Field of studyBusiness, Computer Science, Data Analytics, Engineering, Information Technology (or related)
Study levelBachelor's or higher
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟯𝟬 𝗟𝗣𝗔)
Experience: 12+ yrs
Location: Hyderabad, Bengaluru
Job Type: Full-time
We are seeking an experienced Senior Business Analyst / Business Systems Analyst – Data to support enterprise data transformation and cloud platform initiatives. The ideal candidate will bring strong expertise in business systems analysis, data requirements, data modelling, data quality, KPI definition, and functional documentation, along with a solid understanding of the Microsoft Azure data ecosystem.
This role requires a professional who can bridge the gap between business stakeholders and technical teams, translating complex business needs into clear, actionable requirements for scalable, reliable, and governed data platforms.
Requirements
Key Responsibilities
- Act as a Business Systems Analyst for enterprise data, cloud transformation, and data platform initiatives.
- Gather, analyse, and document business, functional, and data requirements from stakeholders.
- Define requirements for developing, enhancing, and evolving Azure-based data platforms.
- Work with technical teams leveraging ADLS, Databricks, SQL, and related data technologies.
- Support the definition and evolution of data models across raw, curated, and consumption layers.
- Collaborate with data engineers and architects to define data inputs, transformations, outputs, dependencies, and data flows.
- Define data quality standards, validation rules, business logic, metadata requirements, and data control mechanisms.
- Ensure data requirements address application functionality, regulatory obligations, compliance, and auditability.
- Partner with engineering teams to establish requirements for KPIs, metrics, dashboards, and business reporting.
- Define KPI calculations, business definitions, data dependencies, and monitoring requirements.
- Analyse business processes and data flows to identify gaps, risks, dependencies, and opportunities for improvement.
- Prepare detailed Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user stories, process flows, data specifications, and acceptance criteria.
- Facilitate discussions across business, product, data, and technology teams to clarify requirements and resolve ambiguities.
- Participate in Agile ceremonies, including backlog refinement, sprint planning, sprint reviews, and stakeholder discussions.