🛠 Tech Stack

💼 About This Role

You'll join the Knowledge Platform team building foundational infrastructure for data and AI/ML across the company. You'll design and build scalable data pipelines for the Growth Team, impacting acquisition, activation, and revenue. This role offers ownership of critical data platform components and collaboration with top engineers on a global scale.

🎯 What You'll Do

• Design and build scalable batch and stream data pipelines.
• Build data ingestion frameworks using Kafka, Flink, or Spark.
• Define and maintain internal data engineering tools and standards.
• Integrate external data sources and ensure data quality.

📋 Requirements

• 5+ years of data engineering experience.
• Proficiency in Kotlin/Java/Scala/Python/SQL.
• Experience with real-time/batch processing systems.
• Experience working with PB-scale data.

✨ Nice to Have

• Knowledge of Kafka, Data Lake, Spark, Flink, DBT.
• Experience with Spring Boot, Hadoop, BigQuery, Snowflake.
• Bachelor's/Master's in CS or equivalent.

🎁 Benefits & Perks

• 📈 Competitive salary plus equity
• 🏢 Collaborative open office with fully stocked kitchen
• 🎉 Regular team-building events
• 💡 Freedom to be creative