About the Role
The ideal candidate will be responsible for developing robust data pipelines, ensuring data accuracy, and enabling insights through efficient data architecture.
Responsibilities
- Design and implement data pipelines for large-scale datasets
- Ensure data quality and integrity across systems
- Optimize data storage and retrieval processes
- Collaborate with analytics and machine learning teams
- Maintain and improve existing data infrastructure
- Monitor system performance and troubleshoot issues
- Support data governance and compliance standards
- Develop automation scripts for data workflows
- Integrate data from multiple sources
- Document data models and system architecture
- Work with cloud-based data platforms
- Improve data pipeline reliability and scalability
- Assist in defining data standards and best practices
- Participate in code reviews and system design discussions
- Respond to data-related incidents and outages
Nice to Have
- Master’s degree in a technical field
- Experience in media or advertising technology
- Knowledge of real-time data processing
- Familiarity with data warehousing solutions
- Experience with streaming platforms like Kafka
- Understanding of machine learning pipelines
- Contributions to open-source data projects
- Exposure to data observability tools
- Background in high-throughput systems
- Certifications in cloud data technologies
Compensation
Competitive salary and benefits package offered
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative engineering team focused on data infrastructure and platform reliability
About Us
We are a technology company focused on measuring and optimizing advertising across television and digital platforms using data science and automation.
What We Offer
Opportunities for professional growth, a dynamic work environment, access to cutting-edge tools, and involvement in impactful data projects.
Available for qualified candidates
