
Data Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Design, develop, and maintain scalable and dependable data pipelines.
• Construct and enhance ETL/ELT processes to gather data from various sources.
• Create and oversee data models in BigQuery to facilitate analytics and reporting.
• Implement automated workflows and scheduling utilizing Airflow.
• Ensure the quality, integrity, and performance of data across pipelines.
• Collaborate with cross-functional teams to collect requirements and provide data solutions.
• Apply CI/CD best practices to ensure efficient and reliable deployments.
• Diagnose and resolve issues related to data pipelines and performance.
• Bachelor’s degree in Data Science, Computer Science, Statistics, or a closely related field.
• 3-4 years of experience in data science or data analysis.
• Proficient programming skills in Python and SQL.
• Practical experience with Google Cloud Platform (GCP) services.
• Expertise in BigQuery for data warehousing, performance optimization, and cost management.
• Experience with ETL/ELT frameworks and developing large-scale data pipelines.
• Workflow orchestration experience using Apache Airflow.
• CI/CD implementation for data pipelines utilizing tools such as Git, Jenkins, or Cloud Build.
• Strong understanding of data modeling, partitioning, and schema design.
• Familiarity with cloud storage, data validation, and monitoring processes.
• Knowledge of containerization (Docker) and foundational DevOps practices is advantageous.
• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and career advancement.
• Flexible working hours and remote work options.
• Collaborative and inclusive company culture.
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