Data Engineer - GCP/Python/SQL

About the Role :

We are looking for a GCP Data Engineer with strong hands-on experience in GCP, Python, SQL, and data engineering to design, develop, and maintain scalable data pipelines and analytics solutions.

Responsibilities :

• Design, develop, test, deploy, and maintain scalable data pipelines using Google Cloud services, particularly BigQuery and Cloud Storage.

• Develop and optimize data processing and transformation workflows for large datasets.

• Use Python and SQL for data processing, analysis, transformation, and automation.

• Build and maintain data models and datasets to support analytics and reporting requirements.

• Ensure data pipelines and solutions meet scalability, reliability, security, and performance standards.

• Troubleshoot data pipeline and production issues and implement performance improvements.

• Collaborate with data scientists, analysts, and other stakeholders to deliver data-driven solutions.

• Apply data engineering best practices across development, testing, deployment, and maintenance.

Tech Stack :

• Google Cloud Platform (GCP)

• BigQuery and Google Cloud Storage

• Python and SQL

• ETL/ELT processes

Required Skills :

• 4 - 9 years of hands-on experience in Data Engineering.

• Strong proficiency in Python and SQL.

• Experience building and managing data pipelines and ETL/ELT processes.

• Good understanding of data modelling, data processing, and large-scale datasets.

• Understanding of analytics concepts, statistical modelling, and machine learning fundamentals.

• Strong understanding of cloud-based data engineering, scalability, security, and performance optimization.