About this role
About the Role Paramount is seeking a Data Engineer for Self-Service Analytics & Real-Time Data Platforms. You will help build scalable data products, semantic layers, and real-time data platforms enabling trusted, governed, and self-service data access. You will develop solutions powering Power BI, analytics, experimentation, AI applications, agents, and conversational analytics experiences.
What You'll Do
- Design, develop, and maintain scalable batch (ETL/ELT) and near real-time streaming data pipelines that process large-scale structured and unstructured datasets.
- Design and maintain semantic layers, metrics frameworks, and curated data products to enable self-service analytics via governed, reusable data models.
- Implement monitoring, observability, and operational best practices; build governed data access patterns for AI, conversational analytics, and MCP-based applications.
- Build AI-ready data products that support machine learning, GenAI, and AI agents, empowering AI-driven analytics experiences.
What We're Looking For
- Experience designing, building, and maintaining scalable batch ETL/ELT and near real-time streaming data pipelines.
- Strong experience enabling self-service analytics through governed data models and semantic layers; familiarity with BI platforms such as Power BI.
- Experience with data governance, metrics frameworks, curated data products, and AI-enabled analytics including GenAI and conversational analytics.
- Ability to design, implement, and monitor observability and operational best practices.
- Experience delivering AI-ready data products for ML/GenAI applications and collaborating with data science and product teams.