Data Engineer, Business Intelligence
Job Description: • Design, build, and maintain scalable ETL/ELT pipelines to support BI and analytics use cases. • Collaborate with BI analysts and business stakeholders to understand data needs and translate them into technical requirements. • Develop and manage data models and data marts that enable efficient reporting and analysis. • Ensure data quality, integrity, and governance across all BI datasets. • Optimize data workflows for performance, scalability, and cost-efficiency in cloud and/or on-prem environments. • Integrate data from multiple sources including internal systems (ERP, CRM, operational databases) and third-party APIs. • Monitor and troubleshoot data pipelines and workflows to ensure timely data availability. • Implement and maintain metadata management, data lineage, and documentation for transparency and compliance. • Support the BI team in developing dashboards, reports, and self-service analytics tools. Requirements: • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. • 3+ years of experience in data engineering, preferably supporting BI or analytics functions. • Proficient in SQL and experience with other programming languages (e.g., Python). • Hands-on experience with ETL tools and data integration patterns. • Experience with data warehousing platforms. • Familiarity with BI tools such as Tableau and Power BI. • Experience working in cloud environments (AWS, GCP, or Azure). • Preferred: Experience with CI/CD pipelines for data workflows. • Preferred: Familiarity with data governance frameworks and privacy regulations (e.g., GDPR, CCPA). • Preferred: Understanding of agile methodologies and experience working in cross-functional teams. • Strong problem-solving skills and the ability to communicate technical concepts to non-technical audiences. Benefits: Apply tot his job