About the Role
The role involves building and optimizing data pipelines, ensuring data reliability, and supporting analytics initiatives through scalable engineering solutions.
Responsibilities
- Develop and manage data pipelines for ingestion and transformation
- Design scalable data storage solutions aligned with business needs
- Ensure data accuracy, consistency, and accessibility across systems
- Collaborate with analytics and product teams to define data requirements
- Monitor data workflows for performance and reliability
- Troubleshoot and resolve data-related issues promptly
- Implement data validation and quality assurance processes
- Optimize data queries and processing efficiency
- Support the integration of new data sources into existing infrastructure
- Maintain documentation for data models and pipelines
- Work with cloud-based data platforms and services
- Contribute to data governance and security practices
- Automate routine data operations and monitoring tasks
- Participate in code reviews and system design discussions
- Stay current with evolving data technologies and best practices
Nice to Have
- Master’s degree in a technical field
- Experience with real-time data processing systems
- Background in DevOps or platform engineering
- Contributions to open-source data projects
- Exposure to machine learning data pipelines
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid remote
Team
Collaborative engineering team focused on scalable data systems
Technology Stack
- Uses modern data tools including Apache Airflow, Snowflake, and Kafka
- Leverages cloud infrastructure for scalable data operations
Growth Opportunities
- Opportunities to lead data architecture initiatives
- Support for professional development and certifications
Available for qualified candidates
