🛠 Tech Stack

💼 About This Role

You'll lead a globally distributed DataOps team to optimize data pipelines and real-time processing. Your work ensures high availability and performance of critical data infrastructure. You'll drive automation and efficiency improvements across the organization.

🎯 What You'll Do

• Lead and mentor a distributed DataOps team
• Oversee design and maintenance of scalable data pipelines
• Manage and optimize database operations
• Implement real-time data processing with Kafka and Flink

📋 Requirements

• 5+ years of experience in DataOps or Data Engineering
• Proven experience managing remote teams across time zones
• Strong proficiency in SQL and database management
• Expertise in Kafka and Flink for real-time processing

✨ Nice to Have

• Knowledge of CI/CD pipelines for data workflows
• Understanding of data security and compliance
• Experience in a globally distributed environment

🎁 Benefits & Perks

• 📈 Career growth with internal opportunities
• 🏢 Hybrid work model (2 days office, 3 remote)
• 🌍 Global company with 8,500+ employees
• 🎯 Market leader in AI and cloud domains

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 60 min