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Tier-1 brand, mid-level generalist data role, and metro location create high applicant competition.
Core data engineering skills (ADF, Scala, Python, cloud) are highly transferable across industries.
Explicit 5+ years requirement plus mandatory ADF/Scala/Python and cloud experience makes shortlisting highly strict.
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Own design, development, and deployment of data analytics solutions using Azure Data Factory, Scala, and Python across multiple high-visibility projects.
Drive technical leadership including requirement analysis, code integrity, unit testing, and ongoing maintenance adhering to Agile and DevSecOps principles.
Collaborate with cross-functional teams to deliver scalable, lean, outcome-focused software solutions with rapid iteration and strong customer engagement.
Bachelor's degree in computer science, software engineering, or related discipline; advanced degree preferred but not mandatory.
Minimum 5 years of experience with Azure Data Factory (ADF), Azure SQL, Scala, and Python.
At least 5 years of cloud-native engineering experience using SaaS/PaaS on cloud platforms such as Azure, AWS, or GCP.
Work Experience Required: Minimum 5+ years explicitly stated.
Experienced engineer with deep expertise in data engineering, modern software engineering practices, and cloud-native development on Azure and other cloud platforms.
Proven ability to lead technical aspects of product development with strong focus on code quality, automation, and Agile/DevSecOps delivery.
Effective collaborator capable of integrating technical and business perspectives with strong communication skills for complex problem-solving.