BIE - Business Intelligence Engineer

You will be responsible for partnering with product managers, engineers, and business stakeholders to define KPIs and success metrics for creator success. You will create comprehensive dashboards and self-service analytics tools using QuickSight, Tableau, or similar BI platforms. Additionally, you will perform deep-dive analysis on customer behavior, content performance, and livestream engagement patterns. Your role will involve designing, building, and maintaining robust ETL/ELT pipelines to process large volumes of streaming and batch data from the creator success platform. Furthermore, you will develop and optimize data warehouses, data lakes, and real-time analytics systems using AWS services such as Redshift, S3, Kinesis, EMR, and Glue. Implementing data quality frameworks and monitoring systems to ensure data accuracy and reliability will also be part of your responsibilities. Building automated data validation and alerting mechanisms for critical business metrics and generating actionable insights from complex datasets to drive the product roadmap and business strategy are key aspects of this role. **Qualifications Required:** - Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field - 3+ years of experience in business intelligence/analytic roles with proficiency in SQL, Python, and/or Scala - Strong experience with AWS cloud services (Redshift, S3, EMR, Glue, Lambda, Kinesis) - Expertise in building and optimizing ETL pipelines and data warehousing solutions - Proficiency with big data technologies (Spark, Hadoop) and distributed computing frameworks - Experience with business intelligence tools (QuickSight, Tableau, Looker) and data visualization best practices - Collaborative approach with cross-functional teams including product, engineering, and business teams - Customer-obsessed mindset with focus on delivering high-quality, actionable insights Please note that the non-negotiable skills for this role are: - High proficiency in SQL and Python - Expertise in building and optimizing ETL pipelines and data warehousing solutions - Experience with business intelligence tools (QuickSight, Tableau, Looker) and data visualization best practices - Experience in working with cross-functional teams including product, engineering, and business teams - Experience with AWS cloud services (Redshift, S3, EMR),