🛠 Tech Stack

💼 About This Role

You'll design and build ETL/ELT pipelines using Python and Spark for the Internal Data Platform at MongoDB. Your work will drive analytics that help the company run more efficiently. This role offers the chance to work with cutting-edge big data and generative AI technologies.

🎯 What You'll Do

• Design and maintain scalable ETL/ELT pipelines with Python and Spark
• Ensure data quality, reliability, and timeliness across pipelines
• Model and store large datasets using modern file and table formats
• Deploy pipelines on cloud infrastructure, leveraging AWS/GCP

📋 Requirements

• 4+ years building ETL pipelines for a Data Lake/Warehouse
• Expertise in Python, Spark, SQL, Airflow
• Experience with data warehousing, analytical data modeling, and pipeline reliability
• Familiarity with Hive, Iceberg, Glue, and big data file types

✨ Nice to Have

• Exposure to real-time or streaming data technologies
• Background in building data platforms on Cloud (AWS, GCP, Azure)

🎁 Benefits & Perks

• 👶 Generous parental leave
• 🌱 Fertility assistance
• 🏢 Hybrid working model
• 👥 Employee affinity groups

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical screen· 60 min
3. 3Onsite interviews· 4 hours