Key Responsibilities

• Design, develop, and maintain robust and scalable ETL/ELT data pipelines, data models, and data warehousing solutions.
• Administer, optimize, and ensure the high availability and performance of our primary BI platforms (e.g., Power BI, Tableau).
• Establish and enforce data governance, security, and best practices across data assets and BI environments.
• Collaborate closely with business stakeholders to translate analytical requirements into effective, user-friendly BI solutions.
• Drive continuous improvement in data architecture, data quality, and overall BI platform capabilities.
• Provide technical leadership, mentorship, and support for BI platform users and developers.

Required Skills & Experience

• 5+ years of hands-on experience in data engineering, including designing and building ETL/ELT pipelines.
• Proven expertise with SQL, Python, and cloud data platforms (e.g., AWS, Azure, GCP) including data lake/warehouse technologies.
• Demonstrated experience in administering, configuring, and optimizing a leading BI platform (e.g., Power BI, Tableau, Looker).
• Strong understanding of data warehousing principles, dimensional modeling, and data governance frameworks.
• Experience with data orchestration tools (e.g., Apache Airflow, Azure Data Factory).
• Excellent communication and stakeholder management skills, with a track record of translating technical concepts to non-technical audiences.