🛠 Tech Stack

💼 About This Role

You'll design, build, and operate scalable data ingestion pipelines connecting 100+ business systems to BigQuery, ensuring reliable data for analytics across the company. Your core impact is owning the data platform's ingestion layer and maintaining data reliability.

🎯 What You'll Do

• Build and optimize data ingestion pipelines to BigQuery
• Develop custom connectors using Python for complex sources
• Design and maintain DAGs for orchestration and retry logic
• Monitor pipelines for freshness, schema drift, and data quality

📋 Requirements

• 2–3 years of experience in Data Engineering or DataOps
• Strong Python skills for pipeline development
• Solid SQL and cloud data warehousing (BigQuery preferred)
• Experience with Airflow, Prefect, or Dagster

✨ Nice to Have

• Familiarity with Docker and Kubernetes
• Experience with CI/CD pipelines and code review
• Knowledge of API integrations (REST, GraphQL)

🎁 Benefits & Perks

• 🏖️ Epic Team-Buildings including Christmas parties
• ✈️ Annual Workation blending work and play
• 📚 Invest in Your Growth – events, courses, books covered
• 🎂 Birthday Treat – free day off
• 🩺 Health Insurance after 6 months

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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