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Tier-1 brand plus a popular mid-level data role in Bangalore with broad cloud and big-data requirements increases competition.
Core data engineering skills are transferable, though banking domain knowledge moderately increases sensitivity.
Mandatory 5+ years plus production cloud and big-data skills create stringent shortlisting filters.
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Own and deliver end-to-end data pipeline solutions on cloud infrastructure using modern big data technologies and scalable architectural patterns.
Ensure data platform reliability, secure code development, zero downtime releases, performance optimization, and incident management throughout product lifecycle.
Collaborate with multiple product teams to build domain-modeled business data products supporting functions like finance, treasury, financial crime prevention, and regulatory reporting.
5+ years of applied experience with formal training or certification in Public Cloud engineering concepts.
Proficient programming skills in Python or another modern language.
Hands-on production experience with Public Cloud services (AWS or equivalent) and big data technologies (e.g., Redshift, EMR).
Understanding of Agile methodologies, resiliency, security, and comprehensive knowledge of modern data platforms including governance and observability.
Experienced in building and operating scalable, reliable cloud-based data platforms with strong AWS expertise including EMR.
Capable of independently delivering production-ready solutions aligned with Agile processes and incident management.
Strong theoretical foundation in database internals, distributed systems, and design patterns enabling high-quality data engineering solutions.