Data Engineer

• Design, build, and maintain scalable data pipelines to integrate data from various business units into a unified data lakehouse
• Automate data workflows to ensure accurate, timely, and efficient data availability for reporting and analytics
• Optimize database performance, ensuring efficient data retrieval and fast query execution across large datasets
• Develop robust ETL/ELT processes to support both internal analytical needs and external client data feeds
• Work closely with analysts, data scientists, and business stakeholders to deliver optimized standard reports and custom data feeds for clients
• Maintain and enforce consistent metric definitions and canonical queries across all reports and analytics to ensure data consistency and accuracy
• Collaborate with cross-functional teams to maximize the effective use of tools like Power BI, Snowflake, ClickHouse, and Looker for reporting and visualization purposes
• Evaluate and recommend new technologies, tools, and best practices for data storage, transformation, and reporting
• Contribute to the ongoing evolution of the team’s data stack and infrastructure, implementing improvements that enhance performance, scalability, and reliability
• Ensure data integrity, security, and governance protocols are upheld across all data assets and pipelines, aligning with company and regulatory standards

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