
Engineer
1 day ago
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:
- Proficiency in Python , SQL , and optionally Java or Scala .
- Experience with GCP services: BigQuery , Cloud Dataflow , Cloud Storage , Cloud Composer , etc.
- Strong understanding of data warehousing , data modeling , and ETL processes .
- Familiarity with real-time data processing and streaming architectures .
- Knowledge of data governance , security , and compliance standards .
Qualifications:
- Bachelor’s degree in Computer Science , Engineering , or related field.
- GCP Professional Data Engineer certification (preferred).
- 2+ years of experience in data engineering, preferably in cloud environments.
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