SI
Job Description
Key Responsibilities
- Build and maintain large-scale data and analytics solutions on GCP
- Design and implement automated data pipelines for batch and real-time processing
- Extract, load, transform, clean, and validate data from multiple sources
- Engineer data solutions using Cloud BigQuery, Cloud Dataflow, Cloud Function, Cloud Composer, Pub/Sub, Cloud Storage, Cloud Bigtable, Dataproc, and Hive
- Implement CI/CD pipelines and DevOps practices for cloud deployments
- Support migration of data from legacy systems (Oracle, BigData, Netezza) to GCP
- Deploy and manage AI/ML workloads on GCP using Spark, Python, and Java
- Use Terraform to provision GCP services as Infrastructure-as-a-Service (IaaS)
- Collaborate with cross-functional teams to ensure high availability, performance, and reliability
- Participate in design discussions, architecture decisions, and cloud best practices