Madhive

Data Engineer

• Design and implement scalable data pipelines for ingesting, processing, and transforming large volumes of universal pixel and event data
• Build and maintain real-time and batch workflows using tools like Kafka, Airflow, and BigQuery
• Collaborate with engineers and product teams to ensure event data is captured accurately through our JavaScript-based universal pixel
• Own and optimize ELT processes to support reporting, analytics, and machine learning use cases
• Develop and maintain data models to support internal stakeholders and platform features
• Monitor pipeline health, implement anomaly detection, and maintain high data quality standards
• Contribute to the evolution of our cloud data infrastructure (built on GCP)
• Document data pipelines, models, and operational workflows for transparency and team knowledge sharing
• Promote and enforce best practices in data engineering, observability, and data governance

Senior Data Engineer