Data Platform Engineer

Data Platform Engineer

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Google Cloud Platform (GCP)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration across various systems and data models. The position demands a proactive approach to aligning platform components with project requirements, fostering effective communication among team members, and supporting the overall architecture strategy to enable robust data solutions.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure alignment of data platform components with business needs.
- Assist in troubleshooting and resolving technical issues related to data platform integration.
- Support junior team members by sharing knowledge and best practices.
- Continuously evaluate and recommend improvements to enhance platform performance and scalability.
- Key responsibilities
- Provision and manage compute (GCE, GKE, Cloud Run), storage (GCS, Cloud SQL), and networking (VPC, Load Balancers, DNS) on GCP.
- Codify infrastructure using Terraform and the gcloud SDK build and maintain CI/CD pipelines via Cloud Build, GitHub Actions, or Jenkins.
- Deploy containerized workloads on GKE and Cloud Run support AI service deployments including vector stores and model-serving endpoints.
- Operationalize monitoring, logging, and alerting through Cloud Logging, Cloud Monitoring, and Stackdriver.
- Apply cost-optimization and security best practices across IAM, VPC Service Controls, and KMS.
- Automate routine operations with Python or Bash collaborate with developers to troubleshoot production incidents.


Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Platform (GCP).
- Experience with cloud-based data storage and processing services.
- Strong understanding of data integration techniques and tools.
- Familiarity with designing scalable and secure data architectures.
- Ability to work with data modeling and metadata management concepts.
- Must-have skills: GCP (GCE, GKE, Cloud Run, GCS, BigQuery, Pub/Sub, Cloud Functions, IAM, VPC), cloud infrastructure, Terraform, Docker / Kubernetes, Python / Bash scripting, CI/CD. GCP Associate Cloud Engineer certification preferred

Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Platform (GCP).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
- Experience: 3–5 years in cloud engineering with strong hands-on GCP experience.