Senior Data Engineer

Key Responsibilities: Data Pipeline Development: Design, implement, and maintain ETL processes to extract, transform, and load data from diverse sources into data storage systems. Data Integration: Integrate data from various structured and unstructured sources, including databases, APIs, logs, and external data feeds. Data Modeling: Develop and maintain data models that align with business requirements, ensuring data is stored efficiently and accurately. Data Quality Assurance: Implement data quality checks and validation procedures to ensure data accuracy, consistency, and completeness. Data Warehousing: Build and maintain data warehouses or data lakes, optimizing them for query performance and scalability. Documentation: Create and maintain documentation for data pipelines, data models, and infrastructure configurations. Collaboration: Collaborate with analysts, and other stakeholders to understand data requirements and provide data support for analytics and reporting. Monitoring and Troubleshooting: Set up monitoring systems to proactively identify issues and troubleshoot data pipeline failures or performance bottlenecks.