About the Role
The role involves building and maintaining data infrastructure for advertising platforms, focusing on efficient data processing, pipeline automation, and collaboration with cross-functional teams to support data-driven decision-making.
Responsibilities
- Design and implement robust data pipelines for advertising analytics
- Optimize data workflows for speed and reliability
- Work with large volumes of structured and unstructured data
- Ensure data consistency and integrity across systems
- Collaborate with analytics and product teams to define data needs
- Develop ETL processes using modern data tools and frameworks
- Monitor data pipeline performance and troubleshoot issues
- Support data modeling for reporting and machine learning use cases
- Improve data quality through validation and testing procedures
- Maintain documentation for data architecture and processes
- Integrate data from multiple advertising sources
- Apply best practices in data engineering and software development
- Scale systems to handle growing data demands
- Use cloud-based data platforms for storage and computation
- Implement data security and access controls
- Contribute to system design discussions
- Evaluate new data technologies and tools
- Automate repetitive data tasks
- Ensure compliance with data governance policies
- Participate in code reviews and technical planning
Nice to Have
- Master’s degree in a technical field
- Experience with machine learning pipelines
- Contributions to open-source data projects
- Knowledge of ad tech standards and protocols
- Experience with data observability tools
- Familiarity with event-driven architectures
- Background in high-scale data environments
- Exposure to data lakehouse architectures
- Understanding of A/B testing infrastructure
- Experience with data cataloging tools
Compensation
Competitive salary based on experience and location
Work Arrangement
Hybrid work model with flexible remote options
Team
Collaborative engineering team focused on data infrastructure
Why This Role Matters
This position plays a key role in shaping the foundation of advertising data systems, enabling accurate measurement and insights for business growth.
Technology Stack
The team uses Python, Apache Spark, AWS, SQL, Docker, Kubernetes, and modern data orchestration tools to manage data at scale.
Available for qualified candidates
