About the Role
The role involves developing and optimizing data workflows, ensuring data accuracy, and supporting analytics needs through robust data systems.
Responsibilities
- Design and implement data pipelines for efficient data movement and transformation
- Develop and maintain scalable data storage solutions
- Ensure data quality and integrity across systems
- Collaborate with analytics and engineering teams to understand data needs
- Monitor data workflows for performance and reliability
- Troubleshoot and resolve data-related issues
- Optimize data processing for speed and cost efficiency
- Support data governance and compliance standards
- Document data architecture and processes
- Integrate data from multiple sources into centralized repositories
Nice to Have
- Experience with streaming data platforms such as Kafka
- Background in real-time data processing systems
- Familiarity with containerization and orchestration tools like Docker and Kubernetes
- Exposure to data observability practices
- Experience working in agile development environments
- Knowledge of infrastructure as code tools like Terraform
- Understanding of data privacy and security principles
Compensation
Competitive salary and benefits package offered based on experience and qualifications.
Work Arrangement
Hybrid work model combining remote flexibility with periodic in-office collaboration.
Team
Collaborative team environment focused on data infrastructure and scalable systems development.
About the Role
This position plays a key role in shaping the organization's data foundation by building systems that enable accurate, timely, and secure access to data.
What We Value
We prioritize technical excellence, ownership, and a collaborative mindset. Candidates should be comfortable working in fast-paced environments and adapting to evolving requirements.
Visa sponsorship available for qualified international candidates.
