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Tier-1 brand, popular data engineer role, Bangalore location, broad skillset increases applicant density.
Data engineering skills transferable across industries, though banking regulatory experience increases domain specificity.
Senior VP title with mandatory technical skills and cloud/data expertise enforces strict filters.
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Own end-to-end delivery of scalable, secure, zero-downtime data pipeline solutions on cloud infrastructure using latest technologies.
Apply domain modeling to build business products and optimize data processing, monitoring performance, and troubleshooting issues promptly.
Support product lifecycle including production and incident management while coaching team members on coding standards and design principles.
Formal training or certification in data engineering concepts with applied hands-on professional experience as a Data Engineer.
Experience coding in a recent version of Python and designing/testing unit, integration, and performance tests.
Experience with cloud technologies, distributed systems, data transformation frameworks, and pipeline orchestration tools.
Work Experience Required: Recent professional experience as a Data Engineer; notice period: Not explicitly mentioned in the JD.
Experience working in large-scale data environments with event-based architecture, data streaming, and messaging frameworks.
Comfortable in regulated industry environments and familiar with data governance frameworks and AWS cloud technologies.
Capable of managing multiple work streams, stakeholder engagement, and mentoring engineers on technical best practices.