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Mid-level popular data-engineer role, metro location, and broad skill requirements increase applicant competition.
Core data engineering cloud skills are highly transferable across industries.
Explicit 5+ years plus mandatory Azure, Databricks, Python and ADF increases shortlisting rigour.
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Lead end-to-end delivery of automated data pipelines and digital platforms ensuring performance, scalability, security, and usability.
Act as technical authority defining and governing architectures integrating data pipelines, APIs, backend services, and web frontends using Azure and associated technologies.
Provide technical leadership, mentor teams, manage resources and budget across multi-initiative projects in a global, consulting environment.
Bachelor's or Master's degree in Data Science, Computer Science, or related field.
At least 5 years of experience in data engineering, digital solution delivery, or custom application development.
Strong experience with MS Azure Services, Python, PySpark, Databricks, Azure Data Factory, Power Platform, and cloud platforms deployment.
Experience in leading custom-built web applications or internal digital platforms integrated with data pipelines, in multi-project or consulting/global delivery settings.
Senior professional bridging data engineering, application development, and business outcomes with a focus on scalable, user-centric digital solutions.
Experienced in architecting complex digital solutions using Microsoft Azure ecosystem and modern web technologies in consulting or global delivery environments.
Capable of technical leadership, mentoring multi-disciplinary teams, and managing project delivery with governance, quality, and security focus.