About the Role
The role involves building and optimizing data pipelines, maintaining data warehouses, and supporting analytics initiatives across departments. The engineer will work closely with data scientists and analysts to ensure data accuracy and availability.
Responsibilities
- Design and implement scalable data pipelines
- Maintain and improve data warehouse architecture
- Ensure data accuracy and consistency across systems
- Collaborate with analytics teams to fulfill data needs
- Monitor data workflows for performance and reliability
- Troubleshoot and resolve data-related issues
- Document data models and pipeline processes
- Support data governance and compliance standards
- Optimize queries and data access patterns
- Integrate data from multiple sources
- Develop automated testing for data integrity
- Work with cloud-based data platforms
- Contribute to data modeling best practices
- Assist in defining data quality metrics
- Support business intelligence reporting tools
- Participate in code reviews and system design
- Improve data pipeline observability
- Manage metadata and data lineage tracking
- Collaborate on ETL process improvements
- Ensure efficient data storage and retrieval
- Support data security and access controls
- Work with version-controlled infrastructure code
- Respond to data incident alerts
- Contribute to technical documentation
- Stay current with data engineering trends
Nice to Have
- Experience with Python or Scala
- Familiarity with Apache Spark
- Knowledge of streaming platforms like Kafka
- Experience with Terraform or similar tools
- Background in media or entertainment data
- Experience with data catalog tools
- Knowledge of machine learning pipelines
- Familiarity with data privacy regulations
- Experience in agile environments
- Understanding of microservices architecture
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility
Team
Collaborative team focused on data infrastructure and analytics
About the Team
The data team works at the intersection of engineering, analytics, and product to deliver reliable data infrastructure. Engineers here focus on building systems that scale and support data-driven decision-making across the organization.
What We Value
We prioritize clear communication, ownership of systems, and continuous improvement in data practices. Practical problem-solving and collaboration are central to how we operate.
Available for qualified candidates
