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Popular Data Engineer role with Azure/Databricks focus and metro hiring increases competition.
Transferable skills but requires specific Azure and big-data platform experience.
Multiple explicit years and many mandatory Azure, Databricks, and BI stack requirements increase shortlisting strictness.
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Lead architecture, design, and development of scalable data platforms and real-time data pipelines on Azure.
Ownership and delivery management for a Scrum team of data engineers ensuring high-quality, reliable data solutions.
Collaborate with data architects and business stakeholders to support advanced analytics and enterprise-scale data initiatives.
12+ years of enterprise software development experience; minimum 8+ years in data engineering or platform design.
Minimum 2+ years experience in Azure data pipeline development, including Azure Data Factory, Data Lake, SQL DB, Synapse.
3+ years experience with Hadoop, Azure Databricks, Kafka, SQL Server/T-SQL, and Microsoft BI stack (SSIS/SSRS/SSAS, Power BI).
Bachelor's degree in Computer Science, Engineering, or equivalent experience.
Proven leadership in managing and delivering complex, enterprise-scale data engineering projects in agile environments.
Deep expertise in big data technologies and Azure data ecosystem with strong data modeling and pipeline development skills.
Experience collaborating closely with technical leadership and business stakeholders to align data solutions with business use cases and technical roadmaps.