We are looking for a Senior Data Engineer to join us and become the backbone for enabling our data-driven decision-making. This is a high-impact role where you will design and maintain our entire data infrastructure - from raw event ingestion to polished dashboards, empowering Content, Product, and Marketing teams with real-time, actionable insights. You will own the full data pipeline: modeling, transformation, visualization, and automation. Responsibilities - Data Pipeline Architecture: Design, build, and maintain scalable ETL/ELT pipelines that ingest data from multiple sources into the data warehouse. - Data Modeling: Design and maintain clean, well-documented data models that serve as the single source of truth for the organization. - BI & Analytics: Build and own dashboards, reports, and self-serve analytics tools that provide real-time visibility into KPIs across acquisition, engagement, retention, and monetization. - Data Quality & Governance: Implement monitoring, alerting, and validation frameworks to ensure data accuracy, freshness, and trust across all pipelines and reports. - Attribution Analytics: Support marketing and growth teams with deep-dive analysis on campaign performance, ROAS, LTV modeling, and attribution across paid and organic channels. - Cross-Functional Partnership: Work closely with Content, Product, and Marketing teams to translate business questions into data solutions, A/B test analysis, and cohort studies. REQUIREMENTS - BSc/BA in Computer Science, Engineering, or a related field. - At least 5 years of experience with designing and building data pipelines, analytical tools, and data warehouses. - Strong Python and SQL skills - Practical experience building and maintaining ETL/ELT workflows using tools such as dbt and Airflow. - Strong proficiency with modern BI platforms (such as Looker, Tableau, Power BI) - building dashboards, calculated fields, and self-serve data products. - Strong analytical thinking with the ability to tra
