🛠 Tech Stack

💼 About This Role

You'll design and build robust data pipelines for a leading ad tech platform processing billions of daily events. You'll be a key part of the data platform team, ensuring reliable and accessible data for insights and analytics. This role offers exposure to cutting-edge technologies like Apache Spark and real-time streaming.

🎯 What You'll Do

• Develop and optimize ETL pipelines using Apache Spark
• Manage cloud data infrastructure on GCP or AWS
• Enhance data lake and warehouse solutions
• Implement monitoring and alerting for data pipelines

📋 Requirements

• 4-5 years of data engineering experience
• Proficiency in Java, Scala, or Python
• Experience with Apache Spark or Flink
• Experience with cloud data services like BigQuery, S3, GCS

✨ Nice to Have

• Containerization with Docker or Kubernetes
• Knowledge of ad tech ecosystem

🎁 Benefits & Perks

• 🏖️ Hybrid working model (3 days in office)
• 🚗 Nearby parking available
• 📚 Mentorship program and internal learning tools
• 🐾 Pet friendly office
• 🍻 Happy hours and fully stocked kitchen

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager· 45 min