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Metro location, broad fullstack-plus-data skillset, and popular data-engineer title increase candidate competition.
Core data engineering skills transfer across industries, though sustainability domain exposure is advantageous.
Explicit 8-12 years requirement plus mandatory Python, SQL, cloud, ReactJS, and data engineering competencies.
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Design, develop, and maintain scalable data pipelines, web applications, and cloud-based solutions supporting global sustainability consulting projects.
Implement and optimize cloud data platforms and enterprise applications using technologies like Azure, AWS, ReactJS, APIs, and DevOps practices.
Provide technical guidance and develop reusable frameworks to improve delivery consistency and enable scalable data management and digital transformation.
Bachelor's or Master's degree in Computer Science, IT, Engineering, Data Engineering, Data Science, or related field.
8-12 years of experience in Data Engineering, Application Development, or Software Engineering.
Proficiency in Python, SQL, ReactJS, REST APIs, relational and non-relational databases, and cloud platforms (Azure, AWS, Microsoft Fabric).
Experience with ETL/ELT workflows, DevOps, CI/CD, and Agile methodologies.
Experienced in developing cloud-enabled data platforms and scalable web applications for enterprise-level sustainability or business transformation projects.
Comfortable collaborating with global stakeholders and translating business requirements into maintainable technical solutions.
Skilled in mentoring and capability building within technical teams, with a focus on data engineering and application development best practices.