Actively hiring· Posted 1 month ago

Senior Data Engineer (GCP)

Full TimeIn-OfficeData Science/ML
Salary
Not disclosed
Experience
5–10 yrs
Work mode
In-Office

The role

About the role

2 min read

Infocusp Innovations is hiring a Senior Data Engineer (GCP) with strong expertise in Google Cloud Platform (GCP), cloud infrastructure, data ingestion, and Python development.

Responsibilities

  • Design, develop, and maintain scalable GCP infrastructure for enterprise data workloads.
  • Architect and organize GCP projects, networking, storage, IAM, and security configurations.
  • Build scalable cloud infrastructure patterns for data processing and storage.
  • Design and implement robust data ingestion pipelines for structured and unstructured data sources.
  • Develop production-grade ingestion frameworks and data processing solutions.
  • Optimize data ingestion workflows for performance, reliability, and cost.
  • Ensure data quality, validation, monitoring, traceability, and observability.
  • Develop Python-based data engineering applications and automation tools.
  • Build reusable libraries, services, and utilities for data workflows.
  • Implement logging, monitoring, testing, and error handling for production systems.
  • Collaborate with Data Engineers, Software Engineers, Cloud Engineers, Security teams, and business stakeholders.
  • Drive technical initiatives from architecture and design through deployment and ongoing support.

What you bring

Requirements

Must Have

  • 5+ years of experience in Data Engineering, Cloud Engineering, or related fields.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Experience designing and implementing GCP architecture and infrastructure for data workloads.
  • Expertise with GCS, BigQuery, Pub/Sub, Dataflow, Cloud Run/GKE, VPC, IAM, and Cloud Monitoring.
  • Experience with cloud networking, security, authentication, authorization, and access control.
  • Experience with Infrastructure as Code (IaC), preferably Terraform.
  • Strong understanding of data quality, monitoring, observability, and production best practices.
  • Strong experience building data ingestion pipelines and data processing workflows.
  • Hands-on experience designing secure data transfer and proxy solutions.
  • Strong Python programming skills and experience building production-grade data applications.
  • Excellent communication skills and ability to work independently.

Nice to Have

Experience organizing GCP environments for data sovereignty and residency requirements.Experience with infrastructure automation and cloud operations.Experience working in enterprise-scale cloud environments.Experience leading technical initiatives and collaborating across teams.

Infocusp Innovations