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Job Summary :

As a GCP Data Engineer, you will be responsible for designing, building, and maintaining scalable data processing systems on Google Cloud Platform (GCP). You will collaborate with cross-functional teams to ensure data is accessible, reliable, and optimized for analytics and machine learning initiatives.

Key Responsibilities :

• Data Pipeline Development :
• Design, develop, and maintain ETL / ELT pipelines using tools like Cloud Dataflow, Apache Beam, and Cloud Dataprep.
• Implement real-time data streaming solutions using Cloud Pub / Sub or Apache Kafka.
• Data Storage & Warehousing :
• Manage and optimize storage solutions such as BigQuery, Cloud Storage, and Cloud Spanner.
• Design efficient data models and schemas for structured and unstructured data.
• Data Integration & Transformation :
• Integrate data from multiple sources into unified data lakes or warehouses.
• Cleanse, enrich, and transform raw data into analytics-ready formats.
• Performance Optimization :
• Monitor and troubleshoot data pipelines.
• Optimize workflows for scalability, performance, and cost-efficiency.
• Security & Compliance :
• Implement data governance policies.
• Ensure compliance with data protection regulations (e.g., GDPR, HIPAA).
• Collaboration & Communication :
• Work closely with data scientists, analysts, and business stakeholders.
• Translate technical solutions into business insights.

Required Skills :

Qualifications :