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Metro location and generalist senior data role increase competition; office-based, non-remote reduces applicant pool.
Data engineering skills transfer across industries, but analytics/ML focus requires domain familiarity.
Mandatory domain expertise, cloud and data stack expectations make shortlisting moderately strict.
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Lead design and delivery of scalable, production-grade data systems and services for portfolio companies.
Own end-to-end engineering including building data pipelines, backend systems, and contributing to CI/CD and infrastructure development.
Collaborate with global teams (Mumbai & London) to drive delivery and solve real-world problems using technology.
Proven experience as a software engineer with strong technical leadership (exact years not explicitly mentioned).
Proficiency in at least one modern programming language such as Python or Java.
Experience with SQL and NoSQL databases including schema design and query optimization.
Familiarity with cloud platforms (AWS or Azure), CI/CD practices, automated testing, and observability.
Experienced in hands-on engineering with a focus on building maintainable, scalable products and systems.
Able to work effectively in cross-functional and multi-location teams, with strong communication and collaboration skills.
Comfortable taking ownership and iterating quickly, with a strategic mindset oriented toward practical problem solving and impact.