Basic Information:

Experience: 6 to 8 Years

Location: Pune

Must Required Skill: Google Cloud Platform (GCP)

Immediate Joiners

Job Purpose

We are seeking experienced Data Engineer hands-on experience in designing, building, and managing large-scale data pipelines and cloud-based data infrastructure. The ideal candidate will have strong expertise in Google Cloud Platform (GCP) and experience integrating data from web and mobile applications, including React-based systems and Firebase services. You will play a key role in ensuring the reliability, scalability, and efficiency of data pipelines while collaborating closely with developers, data scientists, and product teams to deliver high-quality, actionable data solutions.

Key Responsibilities

1. Data Pipeline Development:
- Design, build, and maintain scalable and productive data pipelines to ingest, process, and transform large datasets from web and mobile applications.
- Implement ETL (Extract, Transform, Load) processes to integrate data from multiple sources, including Firebase (Firestore, Firebase Analytics).




- Optimize data workflows for performance, reliability, and cost-efficiency in cloud environments.

2. Data Infrastructure Management:
- Develop and manage data storage solutions (databases, data warehouses, data lakes) to support back-end and analytical needs.
- Configure and maintain cloud-based data infrastructure, ensuring scalability, security, and high availability.
- Automate infrastructure tasks such as schema migrations, data partitioning, and backup management for seamless operations.

3. Data Integration & API Development:
- Build and maintain APIs and data access layers to enable seamless data integration with React-based and cloud-native applications.
- Consolidate and unify data from disparate sources for analytics and product functionalities.
- Ensure data consistency, integrity, and synchronization across systems, supporting both batch and real-time data processing.

4. Collaboration &

📌 Sr. Data Engineer (India)
🏢 Ishan Technologies
📍 India