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Mid-level popular data-engineer role in a metro with a strong brand and broad Azure/Databricks skillset.
Core Azure data engineering skills are transferable, though finance/actuarial domain knowledge increases specificity.
Explicit 3–5 years plus mandatory Azure, Databricks, ADF and DevOps experience makes shortlisting stringent.
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Lead the FADS Support Team responsible for application support, development, and management of Microsoft Azure cloud data applications.
Act as technical and data SME, engaging with business stakeholders for requirement gathering and supporting data migration to Azure-based platforms.
Oversee design and implementation of data engineering solutions using Azure Data Factory, Databricks, and Power BI, ensuring adherence to risk and control processes.
3-5 years of experience in Azure Data Engineering.
Proficiency in Azure Data Factory, Azure Data Lake Storage V2, Azure SQL, Azure Databricks, PySpark, Azure DevOps, and Power BI.
Graduate or post-graduate degree in Computer Science, Statistics, Mathematics, Data Science, Engineering or related field.
Experience with secured Azure environments and working with offshore development teams.
Experienced technical leader comfortable managing both application support and development within Azure cloud environments.
Skilled in translating business requirements into technical solutions with strong stakeholder management capabilities.
Familiar with full software development lifecycle, data modeling, and implementing modern data platform architectures including data warehouse/lakehouse concepts.