Sr. Data Engineer - GCP

Ishan Group; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Ishan Group is seeking an experienced Data Engineer to design, build, and manage large-scale data pipelines on Google Cloud Platform. You will integrate data from web and mobile apps, including React-based systems and Firebase services, ensuring reliable, scalable and cost-efficient data infrastructure.

You will collaborate with developers, data scientists, and product teams to deliver high-quality data solutions, monitor pipeline health, and implement robust data quality controls across

Qualifications

• 5+ years of data engineering experience.
• Strong expertise in Google Cloud Platform (GCP) and Firebase services.
• Experience designing, building and managing large-scale data pipelines.
• Ability to integrate data from web and mobile applications including React-based systems.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting and transforming large datasets from web and mobile apps.
• Implement ETL/ELT processes to integrate data from multiple sources including Firebase services.
• Optimize cloud data workflows for performance, reliability, and cost-efficiency.
• Develop and manage data storage solutions (data warehouses/lakes) to support analytics and back-end needs.
• Build APIs and data access layers to enable seamless integration with React-based and cloud-native apps.
• Collaborate with data scientists, software engineers, and product teams; monitor data infrastructure health and pipeline performance.
• Document metadata, data lineage, and ensure data quality checks are in place.

Skills

End-to-End Pipeline Development

Data Warehouse Design

Data Governance

Production Deployment

Analytical Thinking

Tools

Google Cloud Platform (GCP)

BigQuery

Cloud Dataflow

Cloud Storage

Cloud Functions

Firebase

Firestore

Cloud Monitoring

IAM & Security

Python

API Integration

CI/CD

IaC

Job description

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

• Design, build, and maintain scalable and efficient 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.
• Partner with data scientists, software developers, and product managers to understand data requirements and deliver effective data solutions.
• Provide regular updates on data infrastructure health, data availability, and pipeline performance.
• Collaborate with engineering teams to integrate pipelines with production environments, including Firebase-hosted systems.

5. Data Quality & Monitoring

• Implement robust data quality checks and validation mechanisms.
• Monitor and troubleshoot pipeline performance and data latency using cloud monitoring tools.
• Maintain documentation, metadata, and data lineage for compliance and traceability.

Qualification & Experience

• Experience: 5+ Years
• Certifications (if any): Google Cloud Platform

Technical Skills:

Google Cloud Platform (GCP) , BigQuery , Cloud Dataflow , Cloud Storage , Cloud Functions , Firebase , Firestore , Cloud Monitoring , IAM & Security Management , ETL/ELT Development , Data Pipeline Design & Development , Data Modeling , Data Warehousing , Data Migration , Python , API Integration , CI/CD Pipelines , Infrastructure as Code (IaC)

Functional Skills:

End-to-End Pipeline Development , Data Warehouse Design , Data Consolidation , Firebase Integration , Data Governance , Query Optimization , Production Deployment Support , Stakeholder Communication , API-based Data Exchange , Cloud Data Architecture

Problem Solving & Analytical Thinking , Ownership & Accountability , Collaboration & Teamwork , Innovation & Continuous Improvement , Adaptability , Customer & Business Focus