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About the role
Job Title: Data Engineer – GCP (Fullstack)
Location:
Remote (Chennai Preferred)
Shift:
Day Shift
Experience:
4+ Years
Role Overview
We are seeking a skilled Data Engineer / Platform Engineer to drive value delivery within cross-functional squads by leveraging strong technical expertise. The role involves designing, building, and supporting scalable data and application solutions using GCP, Databricks, Apache Spark, and cloud-native services , while following Agile and engineering best practices.
Key Responsibilities
- Design, build, and maintain backend services and APIs using C# , deployed on GCP Cloud Run .
- Develop and support scalable data and application solutions using Databricks .
- Implement and manage data governance, security, and lineage using Unity Catalog .
- Utilize Apache Spark for large-scale data processing and performance optimization.
- Build, optimize, and maintain robust data pipelines and transformations.
- Work closely with cross-functional teams in Agile squads for solution delivery.
- Implement CI/CD pipelines (preferably using Azure DevOps ).
- Manage Infrastructure as Code (IaC) using Terraform on GCP .
- Work with Firestore (NoSQL) and relational databases like PostgreSQL/MySQL .
- Perform debugging, troubleshooting, and performance tuning of applications and data workloads.
Required Skills & Expertise
- 4+ years of experience in Data Engineering / Platform Engineering.
- Strong hands-on experience with Databricks and Apache Spark .
- Experience with Unity Catalog for governance and access control.
- Strong knowledge of GCP services , especially Cloud Run.
- Proficiency in building REST APIs using C# .
- Experience with CI/CD pipelines (Azure DevOps preferred).
- Experience with Terraform (IaC on GCP) .
- Hands-on experience with Firestore and relational databases.
- Strong analytical, problem-solving, and debugging skills.
- Experience working in Agile environments.
Skills required
postgresqldatabricksterraformmysqlsparkazureci/cdagilegcpc#