Sr. Data Engineer - GCP

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 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.

4. Collaboration & Communication

• 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

• Education: B.E / M.E / B.Tech / M.Tech / BCA / MCA
• Experience: 5+ Years
• Certifications (if any): Google Cloud Platform

Required Skills & Competencies

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

Behavioral Competencies:

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