Role : Azure Data Engineer - Reporting & Analytics

Location : Hyderabad

Experience : 5-7 years

Company Snapshot :

A global technology innovator delivering enterprise- scale solutions across industries. The engineering division builds cloud- based, scalable platforms that power digital applications and enterprise systems worldwide. With strong focus on data engineering, analytics, and cloud innovation, the company fosters a culture of collaboration, agility, and continuous learning.

Role Purpose :

We are seeking a Software Engineer - Data Engineering & Reporting with strong expertise in Azure Analysis Services (AAS), Azure Data Factory (ADF), and Databricks. This role involves building and maintaining data pipelines, designing reporting cubes, and enabling advanced analytics for business- critical applications.

Core Deliverables :

- Design, develop, and maintain data pipelines using ADF and Databricks.

- Build and optimize reporting cubes with Azure Analysis Services.

- Ensure data reliability, efficiency, and quality across reporting systems.

- Collaborate with product managers and stakeholders to deliver enhancements.

- Deploy analytics programs, machine learning, and statistical methods where applicable.

- Troubleshoot and resolve issues in high- volume, business- critical data environments.

- Contribute to Agile practices including Scrum, TDD, and CI/CD automation.

Essential Expertise :

- Azure Analysis Services (AAS) - cube design, optimization, and reporting.

- Azure Data Factory (ADF) - pipeline creation, orchestration, and automation.

- Databricks - data engineering, ETL, and analytics workflows.

- Strong SQL skills (SQL Server, Azure SQL, Synapse).

- Familiarity with CI/CD tools (GitHub, JIRA, GitHub Actions).

- Exposure to Azure Cloud Platform and related services.