About this role
About the Role We are seeking a Data Engineer to join Paramount's Data Engineering team focused on Data Pipeline & ETL. You will help build and maintain scalable data platforms and ETL/ELT pipelines in a fast-moving environment, powering analytics, ML, and AI applications. You will grow your expertise in modern data architecture and cloud-native best practices. What You'll Do
- Build and maintain scalable batch and streaming data pipelines for large-scale structured and unstructured datasets.
- Build robust ETL/ELT frameworks supporting analytics, BI, experimentation, and machine learning use cases.
- Optimize pipelines for performance, reliability, scalability, and cost efficiency.
- Implement advanced ingestion patterns including CDC, incremental loads, and event-driven processing.
- Data Modeling & Data Warehouse Architecture: Design scalable, dimensional, and hybrid data models optimized for analytics and ML use cases.
- Develop reusable transformation layers (semantic layers) that serve BI, ML, and AI applications. What We're Looking For
- Experience building and maintaining scalable data pipelines (batch and streaming) in large-scale data environments.
- Proficiency in designing and implementing ETL/ELT frameworks and data integration patterns.
- Strong data modeling, data warehouse architecture, and ability to design scalable dimensional/hybrid models for analytics and ML.
- Experience developing reusable transformation layers (semantic layers) for BI, ML, AI.
- Familiarity with cloud-native data architectures and modern data platform practices.
- Ability to work in a fast-moving environment and collaborate with cross-functional teams. Nice to Have
- Experience with CDC, incremental loads, and event-driven processing.
- Experience with ML/AI data pipelines and analytics/BI use cases.
- Knowledge of cloud-native data services and tooling in data processing.