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Broad data, frontend/backend and cloud skillset makes this senior role moderately competitive.
Skills largely transferable across industries, though ESG/sustainability experience is advantageous.
Explicit 8-12 years requirement plus multi-disciplinary mandatory tech stack enforces strict shortlisting.
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data and application solutions using Azure, AWS, Microsoft Fabric, and related technologies.
Build modern web applications and backend services using ReactJS, Python, SQL, and REST APIs to support global consulting delivery and sustainability initiatives.
Provide technical leadership including mentorship, development of reusable frameworks, and continuous improvement via DevOps and CI/CD practices.
Bachelor's or Master's degree in Computer Science, IT, Engineering, Data Engineering, Data Science, or related discipline.
8-12 years of professional experience in Data Engineering, Application Development, or Software Engineering.
Strong proficiency in Python, SQL, ReactJS, and cloud platforms such as Azure, AWS, or Microsoft Fabric.
Work Experience Required: 8-12 years in relevant fields.
Experienced in designing and implementing scalable cloud-native data platforms and web applications within complex, global consulting environments.
Skilled in translating business and sustainability requirements into robust, maintainable technical solutions using modern data engineering and application development practices.
Ability to lead and mentor teams, promote best practices in DevOps/CI-CD, and contribute to capability building across distributed teams.