Azure Senior Data Engineer

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