Senior Data Engineer
First seen by Alion on Sep 8, 2026.
About the Role :
We are seeking a highly skilled Senior Data Engineer with strong hands-on experience in Google Cloud Platform (GCP), cloud infrastructure, data ingestion, and Python. The ideal candidate will have a proven track record of designing and implementing scalable data platforms, organizing GCP environments to meet data sovereignty requirements, and building secure and reliable data ingestion and transfer solutions.
Key Responsibilities :
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.
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.
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.
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.
Location : Ahmedabad or Pune
Skills
Data Engineering, Python, Data Management, Google Cloud Platform, BigQuery, Data Ingestion, Data Pipeline