Azure Data Engineer

People Impact

Hyderabad, Bengaluru

Hybrid

INR 400,000 - 650,000

Full time

6 days ago

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Job summary

People Impact in Hyderabad seeks an experienced Business Analyst / Business Systems Analyst Data to support enterprise data and cloud initiatives. You will translate business needs into detailed requirements and collaborate with data engineers and architects to define data inputs, transformations, and outputs.

The role focuses on Azure Data Lake Storage, Databricks, and SQL, with responsibilities including defining data models, data quality, metadata, and governance, plus creating BRDs, FRDs,

Qualifications

12–15 years of experience in Business Analysis / Business Systems Analysis with data-driven focus.
Experience in enterprise environments as Business Analyst / Business Systems Analyst.
Strong understanding of data and cloud concepts; Azure-based data platforms.
Hands-on experience defining requirements for Azure-based data platforms.
Good understanding of Azure Data Lake Storage (ADLS), Databricks, and SQL.
Data modeling across raw, curated, and consumption layers.
Data quality, metadata, governance, and compliance requirements.
Data controls, auditability and regulatory requirements.
Experience defining data inputs/outputs, KPIs, metrics, and reporting.
Strong SQL for data analysis and requirement clarification.
Excellent requirements gathering, stakeholder management, and documentation.
Agile / Scrum delivery experience.
Excellent written, verbal, analytical, and presentation skills.

Responsibilities

Act as a Business Systems Analyst supporting enterprise data and cloud initiatives.
Partner with business stakeholders and technical teams to translate needs into detailed requirements.
Define requirements for Azure-based data platforms.
Work with teams leveraging ADLS, Databricks, SQL and related data technologies.
Support the definition and evolution of data models (raw, curated, consumption).
Collaborate with data engineers and architects to define data inputs, transformations, outputs and dependencies.
Define data quality, validation rules, metadata, lineage and governance requirements.
Ensure data requirements address application functionality and compliance needs.
Work with engineering to define data inputs/outputs, KPIs, metrics and reporting requirements.
Establish clear definitions for KPIs and monitor data supporting them.
Analyze business processes and data flows to identify gaps and improvements.
Create BRDs, FRDs, user stories, process flows and acceptance criteria.
Facilitate discussions between business, product, data and technology stakeholders.
Support requirements clarification through development, testing and implementation.
Participate in Agile ceremonies and support UAT.
Ensure requirements and documentation remain accurate and traceable.
Present complex data concepts to technical and non-technical stakeholders.

Skills

Business Analysis

Data Modeling

Data Quality

KPI Definition

Requirements Gathering

Documentation

Stakeholder Management

Agile / Scrum

SQL

Azure Data Platform

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Business, Engineering, Data/Analytics, or a related discipline

Tools

Azure Data Lake Storage (ADLS)

Databricks

Job description

We are seeking an experienced Business Analyst / Business Systems Analyst Data with 12–15 years of experience to support business-critical data and cloud initiatives.

The ideal candidate will have strong experience in business systems analysis, data platforms, requirements gathering, data modeling, data quality, KPI definition, and documentation, with good familiarity with the Microsoft Azure data ecosystem, including Azure Data Lake Storage (ADLS), Databricks, and SQL.

The role requires close collaboration with business stakeholders, data engineers, architects, and technical teams to translate business requirements into clear and actionable data and functional specifications.

Key Responsibilities

Act as a Business Systems Analyst supporting enterprise data and cloud initiatives.
Partner with business stakeholders and technical teams to understand business needs and translate them into detailed requirements.
Define requirements for establishing, enhancing, and evolving Azure-based data platforms.
Work with teams leveraging Azure Data Lake Storage (ADLS), Databricks, SQL, and related data technologies.
Support the definition and evolution of data models, including raw, curated, and consumption layers.
Collaborate with data engineers and architects to define data inputs, transformations, outputs, and dependencies.
Define data quality requirements, validation rules, business rules, and metadata requirements.
Ensure data requirements address application functionality as well as relevant legal, regulatory, compliance, and control-tracking needs.
Work closely with engineering teams to define data requirements supporting KPIs, metrics, dashboards, and business reporting.
Establish clear definitions for KPIs and collaborate with technical teams to monitor data supporting those KPIs.
Analyze business processes and data flows to identify gaps, dependencies, and improvement opportunities.
Create detailed Business Requirements Documents (BRDs), Functional Requirements Specifications (FRDs), user stories, process flows, data requirements, and acceptance criteria.
Facilitate discussions between business, product, data, and technology stakeholders.
Support requirements clarification throughout the development, testing, and implementation lifecycle.
Participate in Agile ceremonies including backlog refinement, sprint planning, reviews, and stakeholder discussions.
Support UAT by validating business requirements, data scenarios, and expected outcomes.
Ensure requirements and documentation remain accurate and traceable throughout delivery lifecycle.
Present complex data and business concepts clearly to both technical and non-technical stakeholders.

Required Skills & Experience

12–15 years of overall experience in Business Analysis / Business Systems Analysis, with significant experience in data-driven initiatives.
Strong experience working as a Business Analyst / Business Systems Analyst in enterprise environments.
Strong understanding of data and cloud concepts and experience supporting data platform initiatives.
Hands‑on experience defining requirements for Azure-based data platforms.
Good understanding of:

Azure Data Lake Storage (ADLS)
Databricks
SQL
Data pipelines and data flows
Data ingestion and transformation concepts
Data warehouse / lake / lakehouse concepts

Experience supporting data modeling across raw, curated, and consumption layers.
Strong understanding of data quality, data validation, metadata, lineage, and governance requirements.
Experience defining business rules and requirements related to data controls, compliance, and auditability.
Experience working with engineering teams to define data inputs, outputs, KPIs, metrics, and reporting requirements.
Strong SQL knowledge for data analysis, validation, and requirement clarification.
Excellent experience in requirements gathering, stakeholder management, process analysis, and documentation.
Strong understanding of Agile / Scrum delivery methodologies.
Excellent written, verbal, analytical, and presentation skills.

Preferred Skills

Experience working on enterprise data modernization or cloud migration initiatives.
Exposure to Azure Databricks, data lakehouse architecture, and modern data platforms.
Familiarity with data governance and metadata management tools/processes.
Experience working with BI/reporting platforms and data visualization requirements.
Knowledge of regulatory, compliance, or audit-related data requirements.
Experience working with distributed teams and cross-functional stakeholders.
Experience in creating data flow diagrams, process flows, and conceptual/logical data models.

Key Competencies