Data Engineer

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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.

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.
• Support UAT by validating requirements, data scenarios, business rules, and expected outcomes.
• Maintain requirements traceability and accurate documentation throughout development, testing, and implementation.
• Communicate complex data and business concepts clearly to technical and non-technical stakeholders.

What Makes You a Great Fit

• 12–15 years of overall experience in Business Analysis or Business Systems Analysis, with substantial exposure to data-driven initiatives.
• Proven experience supporting enterprise data platforms, cloud transformation, or data modernisation projects.
• Strong understanding of the Microsoft Azure data ecosystem, particularly ADLS, Databricks, and SQL.
• Good knowledge of data ingestion, pipelines, transformations, data flows, data warehouses, data lakes, and lakehouse concepts.
• Experience defining data requirements and supporting modelling across raw, curated, and consumption layers.
• Strong understanding of data quality, validation, metadata, lineage, governance, and audit controls.
• Experience translating business needs into detailed functional and technical requirements for engineering teams.
• Strong SQL skills for data analysis, validation, and requirements clarification.
• Experience defining KPIs, metrics, reporting requirements, and data-driven business rules.
• Excellent requirements gathering, process analysis, stakeholder management, and documentation skills.
• Strong understanding of Agile/Scrum methodologies and end-to-end software delivery.
• Ability to coordinate across cross-functional and distributed teams while managing competing priorities.
• Excellent analytical, problem-solving, communication, and presentation skills.
• A bachelor’s or master’s degree in Computer Science, Information Technology, Business, Engineering, Data Analytics, or a related discipline is preferred.