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.

Data Engineer

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