Educational RequirementsBachelor of EngineeringService Line Data & Analytics UnitResponsibilities
- 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 solid communication, problem-solving, and stakeholder management skills.

Preferred Skills: Technology->Data Engineering->Databricks

📌 Azure Senior Data Engineer (Pune)
🏢 Infosys
📍 Pune