About the Role
The individual will be responsible for building and optimizing data pipelines, ensuring data accuracy, and supporting analytics initiatives through robust data infrastructure.
Responsibilities
- Develop and manage scalable data pipelines for large-scale data processing
- Design and implement data storage solutions in alignment with business needs
- Ensure data integrity, consistency, and accessibility across systems
- Collaborate with analytics and engineering teams to define data requirements
- Optimize data workflows for performance and reliability
- Monitor data pipeline health and troubleshoot issues promptly
- Support the integration of data from multiple sources into centralized repositories
- Implement data validation and quality checks
- Contribute to the evolution of the data architecture
- Document data models, pipelines, and system designs
- Work with cloud-based data platforms and services
- Apply best practices in data engineering and software development
- Participate in code reviews and system design discussions
- Assist in defining standards for data processing and storage
- Maintain awareness of emerging data technologies and methodologies
Compensation
Competitive salary based on experience and market standards
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative engineering team focused on data infrastructure and analytics
Technology Stack
- Uses modern cloud platforms including GCP and AWS
- Leverages Spark and BigQuery for data processing
- Employs Terraform for infrastructure management
- Applies Airflow for workflow orchestration
Growth Opportunities
- Opportunities to lead data architecture initiatives
- Access to training and certification programs
- Mentorship within a growing engineering team
- Involvement in high-impact data projects
Available for qualified candidates requiring sponsorship
