
Data Engineer Specialist
1 day ago
Job Title: Data Engineer Specialist
We are seeking a skilled data engineer to create high-performance, scalable data pipelines and architectures on Google Cloud Platform (GCP).
Main Responsibilities:
- Data Pipeline Development: Develop highly reliable, efficient, and secure data pipelines on GCP using services like Google Cloud Storage (GCS), BigQuery, and Apache Airflow.
- ETL/ELT Process Development: Create robust ETL/ELT processes in Python and integrate with data orchestration tools (e.g., Airflow).
- Collaboration: Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
- BigQuery Performance Optimization: Optimize BigQuery performance through schema design, partitioning, clustering, and query optimization.
- Data Management: Manage and maintain large-scale data environments ensuring data integrity and availability.
- Automation and Monitoring: Automate and monitor data pipelines for consistent and reliable data delivery.
- Architecture Decisions: Contribute to architecture decisions and ensure adherence to data governance and security standards.
- Mentorship: Mentor junior engineers and promote best practices in data engineering.
Required Skills and Qualifications:
- GCP Services: In-depth knowledge of core services like GCS, BigQuery, IAM, and Cloud Functions.
- BigQuery Expertise: Expertise in data modeling, performance tuning, and analytics.
- GCS Knowledge: Strong understanding of data storage and integration.
- Apache Airflow Experience: Experience in authoring and managing DAGs for complex workflows.
- Python Proficiency: Proficient in scripting and automation, including working with APIs and data processing libraries.
Preferred Qualifications:
- CI/CD Pipeline Experience: Experience with CI/CD pipelines for data workflows.
- Problem-Solving and Communication Skills: Strong problem-solving and communication skills.
- GCP Certifications: GCP certifications are a plus.
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