🛠 Tech Stack

💼 About This Role

You'll design and maintain scalable data pipelines on AWS, Databricks, BigQuery, and Snowflake. You'll own end-to-end data workflows using Apache Spark, Airflow, and Delta Lake to power analytics and reporting. This role offers hands-on impact on a platform serving 1.5 billion user profiles.

🎯 What You'll Do

• Design and maintain scalable data pipelines using Spark, Airflow, Databricks
• Optimize data transformations for large-scale datasets with Delta Lake
• Own Airflow DAGs and orchestration workflows for reliable data delivery
• Implement monitoring, logging, and alerting for production data workflows

📋 Requirements

• 2–4 years professional experience in data engineering
• Strong proficiency in Python and SQL
• Experience with Apache Airflow for workflow orchestration
• Hands-on experience with Databricks and Apache Spark (PySpark)

✨ Nice to Have

• Experience with BigQuery or Snowflake as primary data warehousing platforms
• Familiarity with Databricks Unity Catalog for data governance
• Background in ad tech, media measurement, or streaming data domain

🎁 Benefits & Perks

• 💻 Work with cutting-edge tech (Databricks, Spark, AWS)
• 🌍 Global team with cross-timezone collaboration
• 📈 Growth opportunities toward technical autonomy