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Remote/hybrid, metro location, and a generalist senior data engineer profile increase applicant competition.
Data engineering skills and Azure platform experience are broadly transferable across industries.
Explicit seven-year requirement plus mandatory Azure/Data Factory and CI/CD skills creates strict shortlisting filters.
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Design, develop, and maintain scalable, secure Azure-based data infrastructure and platforms, ensuring performance, reliability, and compliance.
Lead technical standards and best practices across data teams; support data product development, stakeholder collaboration, and consultant coordination.
Drive data platform adoption, governance, quality, and continuous improvement to support organizational reporting, analytics, and business intelligence needs.
Bachelor's degree in Computer Science or related field, or equivalent work experience.
Minimum 7 years of relevant data engineering experience, specifically building data solutions on Azure.
Proficiency with ETL, SQL, Java/C#/C++, Azure Data Factory, GitHub CI/CD, and both relational and NoSQL databases.
Location: Delhi, India (Hybrid work arrangement); must be available for full-time role starting September 1, 2026.
Experienced engineer adept at large-scale Azure data platforms with a focus on secure, scalable data architectures supporting multiple business teams.
Strong technical leadership skills with ability to guide best practices, and influence data literacy and adoption across diverse stakeholders.
Collaborative operator comfortable working closely with internal teams, external consultants, and business stakeholders to translate requirements into technical solutions aligned with strategic goals.