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Tier-1 employer, popular data engineering role, and metro location increase candidate competition.
Azure data engineering and analytics skills are broadly transferable across industries despite advisory context.
Explicit senior experience requirement plus mandatory Azure and data warehousing skills enforce strict filters.
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Lead development and delivery of Data and Analytics products from requirements gathering to driving user adoption within a global setting.
Develop, deploy, and operate cloud data solutions using Azure services including Data Lake Storage, Azure Data Factory, and Synapse.
Optimize SQL queries and work with data modelling and warehousing to enhance data infrastructure and application deployment strategies.
7 to 10 years of professional experience in Data and Analytics with a global organization.
Hands-on experience with Azure data platform services such as Azure Data Lake, Azure Data Factory, and Synapse Analytics.
Bachelor's degree in Engineering (BTech/BE) or Master of Business Administration (MBA) degree.
Mandatory skills include Azure cloud platform and BI & data warehousing expertise; preferred certifications in Azure Synapse or Azure Data Engineering.
Experienced in leading end-to-end data product development with a focus on user adoption and operational impact.
Strong technical expertise on Azure data engineering tools, with a bias toward data transformation skills using ADF and Databricks (PySpark/Delta).
Capable of understanding and improving existing data infrastructure and defining best practices for deployment and maintenance.