Data Engineer

Key Responsibilities:  Design, implement, and maintain ETL processes to extract, transform, and load data from various sources into reporting databases and data warehouses.  Develop custom data pipelines and scripts to handle complex data transformations and aggregations.  Collaborate with data analysts and stakeholders to gather requirements and provide comprehensive reporting solutions.  Generate and automate reports for business units, ensuring consistency, accuracy, and timely delivery of insights.  Implement data visualization techniques and tools to present data in an understandable format.  Optimize data processing workflows to improve performance and reliability.  Ensure data quality and integrity throughout the ETL processes by implementing validation and testing strategies.  Monitor and troubleshoot ETL processes, addressing performance issues and failures as they arise.  Collaborate with cross-functional teams to define data architecture and data modeling strategies, keeping scalability and performance in mind.  Maintain documentation of data flows, ETL processes, and reporting methodologies to ensure knowledge sharing and compliance.  Stay up-to-date with industry trends and technologies related to data engineering and reporting.