Data Egineer

Key ResponsibilitiesData Pipeline Development (ETL/ELT): Build and maintain scalable pipelines to ingest, transform, and move data from sources (APIs, databases) to destinations (data lakes, warehouses). Database Management & Modeling: Design and optimize SQL and NoSQL database architectures (e.g., Snowflake, PostgreSQL, MongoDB) for performance, scalability, and data integrity. Data Quality & Governance: Implement data validation checks, monitoring, and cleaning processes to ensure data accuracy and compliance with regulations like GDPR or CCPA. System Automation: Automate manual data processes, scripting repetitive tasks to enhance efficiency. Collaboration & Support: Work with data scientists and analysts to support their technical needs and deliver clean datasets for machine learning or reporting. Infrastructure Optimization: Monitor data infrastructure, re-designing systems to handle increasing data volume