Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong tier-1 brand, common data engineer title, Pune metro location, and broad multi-skill requirements increase competition.
Technical data engineering skills transferable, but banking and risk domain experience moderately raise fit sensitivity.
Senior VP role with extensive mandatory cloud, infrastructure, and data engineering requirements increases shortlisting strictness.
Lead design and build of data pipelines and scalable AWS cloud infrastructure to automate data processing and support analytics.
Perform advanced analytics and machine learning on large datasets to identify trends and translate into actionable business recommendations.
Drive strategy, resource planning, risk management, and stakeholder advising to enhance data engineering capabilities and operational controls.
Proven experience in data engineering, application development (Python, C/C++), and AWS cloud architecture including infrastructure as code (CloudFormation, Terraform).
Skills in messaging technologies (Kafka, Solace), microservices, API development, container orchestration (Docker, Kubernetes), and CI/CD pipeline engineering (GitLab, SonarQube, Veracode).
Work Experience Required: Not explicitly mentioned in the JD.
Role location: Pune, India; AWS Certified Solutions Architect certification is desirable but not mandatory.
Experienced in leading multi-year, cross-functional data engineering projects with strategic impact and managing or mentoring engineering teams.
Strong expertise in cloud-native infrastructure and automation with familiarity in risk management relevant to investment banking.
Comfortable advising senior stakeholders (VP/Director level) and influencing business-aligned technology decisions.