Senior Data Engineer (L3) - GCP

Key Responsibilities

1. GCP Architecture & Infrastructure

● Design, develop, and maintain scalable GCP infrastructure for enterprise data workloads.

● Architect and organize GCP environments to support data sovereignty and data residency requirements.

● Design appropriate GCP projects, environments, networking, storage, IAM, and security configurations for data platforms.

● Establish scalable and reliable cloud infrastructure patterns for data processing and storage.

2. Data Ingestion & Pipeline Engineering

● Design and implement robust data ingestion pipelines for structured and unstructured data sources.

● Build production-grade ingestion frameworks to reliably process and move data into GCP or similar storage.

● Develop scalable and fault-tolerant data pipelines with appropriate validation, monitoring, and error handling.

● Optimize data ingestion workflows for performance, reliability, and cost.

● Ensure data pipelines maintain data quality, integrity, and traceability throughout the ingestion process.

3. Python Development & Automation

● Develop production-grade data engineering applications and automation using Python.

● Build reusable libraries, services, and utilities to support data ingestion and processing workflows.

● Automate infrastructure and data engineering processes to improve operational efficiency.

● Implement appropriate logging, monitoring, error handling, and testing for Python-based services and pipelines.

4. Collaboration & Ownership

● Work closely with Data Engineers, Software Engineers, Cloud/Infrastructure Engineers, Security teams, and business stakeholders.

● Take ownership of technical initiatives from architecture and design through production deployment and ongoing support.

Requirements

● 5+ years of experience in Data Engineering, Cloud Engineering, or a related field.

● Strong hands-on experience with Google Cloud Platform (GCP).

● Proven experience designing and implementing GCP architecture and infrastructure for data workloads.

● Good understanding of GCP services such as Google Cloud Storage (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 automation and Infrastructure as Code (IaC),

preferably Terraform.

● Strong understanding of data quality, monitoring, observability, and production operational best practices.

● Experience organizing GCP environments to meet data sovereignty and data residency requirements.

● Strong experience building data ingestion pipelines and data processing workflows.

● Hands-on experience designing and implementing secure data transfer and proxy solutions.

● Strong proficiency in Python and experience building production-grade applications and data pipelines.

● Excellent communication skills and ability to work independently with minimal supervision.

Work Location: Ahmedabad/Pune

Contact us to apply

If you would like to apply for this role, send your resume to [hidden].