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.
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