Description

Pipeline Development: Build, debug, and maintain robust, automated data pipelines to ingest data from various sources.Data Architecture & Modeling: Design, create, and maintain large-scale, high-performance data architectures (data lakes, warehouses).ETL/ELT Operations: Perform data transformation and cleaning to ensure data quality, consistency, and accessibility.System Optimization: Monitor and tune databases, SQL/NoSQL systems, and cloud infrastructure for performance.Collaboration & Security: Work with data scientists and analysts to meet data requirements, while ensuring data privacy and compliance

Key Skills

Education

Bachelor's degree