About the Company

The organization operates in the technology and data engineering space, delivering scalable data-driven solutions using modern cloud platforms. With a strong focus on analytics, big data processing, and cloud-native development, the company enables businesses to leverage data effectively for decision-making. The team emphasizes innovation, collaboration, and adherence to best practices in cloud engineering and software development.

Introduction

We are seeking a highly skilled GCP Data Engineer with 6–10 years of experience to join our team. This role involves designing, building, and optimizing scalable data pipelines and analytics solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with BigQuery, PySpark, and Airflow, along with a strong understanding of data engineering principles and cloud-based architectures.

Key Responsibilities

Data Engineering & Pipeline Development

Design, develop, and maintain data ingestion and transformation pipelines using BigQuery, PySpark, and Airflow DAGs.
Build scalable and efficient data processing workflows aligned with performance and reliability standards.
Develop reusable data components and automation frameworks.

Data Optimization & Analytics

Optimize BigQuery SQL queries for performance and cost efficiency.
Implement data modeling techniques to support analytics and reporting needs.

Collaboration & Agile Practices

Collaborate with data architects, analysts, and developers to deliver integrated solutions.
Participate in Agile ceremonies such as sprint planning and code reviews.
Troubleshoot and resolve data and application-related issues proactively.

Full Stack Contribution (Optional)

Contribute to backend development using Java (Spring Boot) when required.
Assist in frontend development using ReactJS for data-driven applications.

Required Qualifications

6+ years of experience in GCP-based data engineering.
Strong expertise in BigQuery, PySpark, and Airflow (DAG development).
Proficiency in SQL and data modeling concepts.
Experience with CI/CD pipelines, Git, and version control systems.
Strong understanding of ETL processes, data integration, and orchestration frameworks.
Excellent problem-solving, debugging, and analytical skills.
Strong communication and collaboration abilities.

Preferred Qualifications

Experience with Java (Spring Boot) for backend development.
Knowledge of ReactJS for frontend development.
Familiarity with GCP services such as Cloud Composer, Dataflow, and Pub/Sub.
Exposure to DevOps practices and containerization tools like Docker and Kubernetes.

Why Join Us / Benefits

Opportunity to work on large-scale cloud data engineering projects.
Exposure to advanced GCP tools and modern data technologies.
Collaborative and growth-oriented work environment.
Competitive salary package and benefits.
Hybrid work model with flexibility across multiple locations including Chennai, Bangalore, Hyderabad, and Pune.