About the Role
The role involves building and managing scalable data platforms, improving data reliability, and supporting analytics and machine learning initiatives through robust data engineering practices.
Responsibilities
- Design and implement data pipelines for large-scale data ingestion and processing
- Maintain and optimize data storage systems and databases
- Ensure data quality, integrity, and consistency across platforms
- Collaborate with analytics and machine learning teams to support data needs
- Monitor data workflows and troubleshoot pipeline failures
- Develop automation scripts to streamline data operations
- Implement data validation and testing procedures
- Support data governance and compliance standards
- Work with cloud-based data services and infrastructure
- Optimize query performance and data access patterns
- Document data architectures and operational processes
- Participate in incident response and resolution for data issues
- Evaluate and integrate new data tools and technologies
- Contribute to capacity planning for data systems
- Ensure high availability and reliability of data services
- Assist in defining data strategy and roadmaps
- Collaborate with cross-functional teams on data requirements
- Improve monitoring and alerting for data pipelines
- Manage metadata and data lineage tracking
- Support disaster recovery and backup procedures for data systems
Nice to Have
- Experience with real-time data streaming platforms like Kafka
- Background in DevOps or platform engineering
- Familiarity with machine learning pipelines
- Experience in ad tech or digital advertising domains
- Knowledge of data mesh or data fabric architectures
- Contributions to open-source data projects
- Advanced degree in computer science or related field
Compensation
Competitive salary and benefits package
Work Arrangement
Remote or hybrid options available
Team
Collaborative data and engineering team
Why Join Us
- Opportunity to work on high-impact data systems at scale
- Supportive environment that values technical excellence and innovation
- Room for professional growth and leadership in data engineering
Application Process
- Submit your resume and a brief cover letter
- Complete a technical screening and coding exercise
- Participate in interviews with team members and engineering leads
Available for qualified candidates
