GCP Data Engineer/Sr. Associate Director, Tech SME
HSBC View all jobs
- Pune, Maharashtra
- Permanent
- Full-time
- Lead data engineering and cloud architecture across the fraud domain, providing technical direction, mentoring, escalation support, and (where applicable) resource allocation.
- Own end-to-end solution design: translate business needs into strategically aligned architectures and data products that meet governance and standards.
- Build and optimise batch and streaming pipelines on GCP; guide implementation of core business logic and reusable engineering patterns.
- Drive performance, reliability, and cost optimisation across GCP services; establish monitoring and operational best practices.
- Partner with external suppliers to define integration approaches and architecture patterns.
- Stay current on cloud, data, and AI trends, sharing insights with peers and senior stakeholders.
- Strong hands-on knowledge of services such as Compute Engine, Cloud Storage, Pub/Sub, GKE, Cloud SQL, BigQuery and broader big data capabilities.
- Solid understanding of GCP networking: VPC design, subnets, firewalling, and hybrid connectivity (VPN/Interconnect).
- Strong experience with BigQuery, Dataflow, Dataproc, Cloud Composer.
- Strong understanding of IAM, encryption, key management (Cloud KMS) and security best practices on GCP.
- Experience implementing compliance-aligned controls (e.g., GDPR, HIPAA, PCI DSS) in cloud environments.
- Experience monitoring and troubleshooting using Cloud Monitoring and Logging (formerly Stackdriver).
- Exposure to applying AI/ML techniques to fraud and risk analytics use cases (e.g., anomaly detection, classification, entity resolution, network-based insights).
- Understanding of AI-enabled data engineering practices: feature-ready datasets, training/serving data consistency, and pipeline automation