Gcp Data Engineer

Roles and Responsibilities

• Design, develop, and maintain large-scale data pipelines using BigQuery, Cloud Storage, and Pub/Sub on Google Cloud Platform (GCP).
• Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
• Develop machine learning models using Python libraries such as scikit-learn, TensorFlow, or PyTorch.
• Ensure high-quality data processing by implementing robust testing frameworks like pytest or unittest.

Desired Candidate Profile

• 6-10 years of experience in Data Engineering with expertise in GCP technologies.
• Strong understanding of SQL concepts including query optimization techniques for large datasets.
• Proficiency in at least one programming language: Python; knowledge of other languages is a plus.
• Bachelor's degree in Any Specialization (B.Tech / B.E.).