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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank in Bangalore, popular data-engineer title with broad AWS/ETL requirements increases applicant competition.
Core data engineering skills are transferable, but banking risk and information-security context raises domain-specific sensitivity.
Mandatory AWS, ETL, data engineering and risk/security experience for a regulated VP role increases shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement automated data-driven solutions to protect private bank information and monitor data quality, integrity, and security.
Simplify and automate ETL processes using innovative data techniques and AI-driven tools to remove manual labor and support commercial success.
Deliver clear data reports and collaborate with cross-functional Business Risk teams to influence strategic decisions and enhance risk detection.
Minimum Requirements
Work Experience Required: Not explicitly mentioned in the JD.
Strong understanding and practical experience with AWS products and tooling for data usage and dependencies.
Proficiency in ETL technical design, data sourcing, data modelling, data visualisation, and programming languages relevant to data engineering.
Knowledge of risk management, information security, modern code development practices, version control, and process automation using AI tools.
Must be based in India with work performed locally in Bangalore.
Ideal Candidate Profile
Experienced in handling large-scale data extraction, value derivation, and feature engineering within a business risk or financial information security context.
Able to build reusable, scalable data tools and automated AI processes to solve complex business problems in risk management.
Capable of engaging proactively with diverse stakeholders to deliver strategic data solutions in a regulated financial environment.