Hiring For Azure data Engineer

Glauben Technologies; Pune District; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Glauben Technologies in Pune, Maharashtra, seeks a senior data engineer to design, build, and optimize scalable data pipelines on Azure (ADF, ADLS Gen2, Azure SQL DB, Synapse) and to model data for enterprise analytics and Power BI Premium reporting.

Lead and mentor data engineers and BI developers, collaborate with Product Owners and Tech Leads in an Agile environment, drive data product evolution, and ensure governance, security, and high performance across the data stack.

Qualifications

• Proven design and optimization of scalable data pipelines.
• Experience with enterprise analytics and BI solutions.
• Strong leadership and mentoring capabilities.
• Experience in Agile environments.
• Good stakeholder management and problem-solving.

Responsibilities

• Design, build, test, deploy, and operate data pipelines and architectures.
• Lead data engineering lifecycle and enterprise reporting projects.
• Mentor data engineers and BI developers.
• Collaborate with Product Owners and Tech Leads on data product evolution.
• Ensure data governance, security, and best practices.
• Troubleshoot complex pipelines and optimize performance.

Skills

Azure data platform

Power BI

DAX

Data modeling

Data pipelines

Agile

Mentoring

Data governance

Python basics

Troubleshooting

Tools

ADF

ADLS Gen2

Azure SQL DB

Azure Synapse

Power BI Premium

Job description

Role & responsibilities

Strong expertise in Azure data platform (ADF, ADLS Gen2, Azure SQL DB, Azure Synapse Dedicated SQL Pool) and advanced data modeling (Star/Snowflake/Lakehouse). Proven ability to design, build, and optimize scalable, high-performance, and cost-efficient data pipelines and architectures aligned to enterprise analytics needs.

Extensive experience in Power BI Premium semantic models, including DAX, performance tuning, and enterprise reporting solutions. Demonstrated capability to lead end-to-end data engineering lifecycle (design, development, testing, deployment, and operations) within Agile environments.

Strong leadership in mentoring data engineers and guiding BI developers, while partnering with Product Owners and Tech Leads to drive data product evolution and informed technical decisions. Expertise in troubleshooting complex data pipelines, performance tuning, and ensuring adherence to data governance and engineering best practices.

Exposure to broader Azure ecosystem (monitoring, security, integration services) with working knowledge of Python for data processing/automation. Effective collaborator in global delivery environments with strong communication, problem-solving, and stakeholder management skills.