Azure Senior Data Engineer

Infosys; Pune District; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Infosys is seeking a data engineer to design, build, and optimize scalable data pipelines and analytics platforms in the Data & Analytics Unit. The role requires strong Azure data platform experience, advanced data modeling, and proficiency in Power BI Premium as well as Databricks and Python.

You will lead end-to-end data engineering lifecycles in Agile settings, mentor engineers, and collaborate with product owners and tech leads to drive data product evolution while adhering to governance and

Qualifications

• Bachelor’s degree in engineering or equivalent in a analytics context.
• 2
• 3

Responsibilities

• Design, build, and optimize scalable data pipelines and architectures for enterprise analytics.
• Lead end-to-end data engineering lifecycle in Agile environments.
• Mentor data engineers and BI developers, guiding data product evolution.
• Troubleshoot data pipelines and ensure data governance and best practices.

Skills

Azure data platform

Power BI

Data modeling

Databricks

Python

Leadership

Agile

Stakeholder mgmt

Education

Bachelor of Engineering

Tools

Azure Data Factory

Azure Synapse

ADLS Gen2

Job description

Educational Requirements

Bachelor of Engineering

Service Line

Data & Analytics Unit

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.

Preferred Skills

Technology->Data Engineering->Databricks