Data Engineer

• Architect, design, and develop high-performance, scalable data pipelines.
• Develop large scale and complex Big Data ETL using modern frameworks such as DBT and Databricks Delta Live Tables (DLT)
• Define and implement data lake architectures and open table formats (e.g., Delta Lake, Iceberg).
• Establish and enforce best practices for data engineering, ensuring data quality, integrity, and performance.
• Drive observability and monitoring for data pipelines, implementing data catalogs and lineage tracking.
• Ability to own critical modules for complex and large-scale Batch ETL models and ability to articulate models to Product, Engineering and Leadership.
• Develop complex Semantic layers and help create customer facing self-service analytics.

Senior Data Engineer

Senior Data Architect

Senior Lead Data Engineer

Senior Manager, AI Data Engineer

AI Data Engineer – Manager