VP - Data Engineer
Talentbrew (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 35–60 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.