Data Analyst

Data Pipeline Development: Design, build, and maintain data pipelines to ensure efficient data flow and processing.

Data Modeling: Create and manage data models for structured and unstructured data sources.

ETL Processes: Develop and optimize ETL processes for data extraction, transformation, and loading.

Data Quality Assurance: Implement data quality checks and ensure data accuracy and consistency.

Collaboration: Work closely with data scientists, analysts, and cross-functional teams to understand data requirements.

Performance Optimization: Continuously improve data infrastructure performance and scalability.