
Data Engineer Position
1 week ago
Cloud Data Engineer Opportunity
We are seeking a highly skilled and experienced Cloud Data Engineer to join our organization. As a key member of our team, you will be responsible for designing, building, and maintaining scalable data processing systems on cloud platforms.
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.
- Collaboration & Communication: Work closely with data scientists, analysts, and business stakeholders.
- Translate technical solutions into business insights.
Required Skills and Qualifications:
- 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.
Benefits:
- 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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