🛠 Tech Stack

💼 About This Role

You'll design and develop large-scale data processing pipelines for both batch and streaming use cases. You'll ensure data accessibility, security, and accuracy while working with cutting-edge cloud technologies. This role offers the chance to mentor junior engineers and collaborate with cross-functional teams.

🎯 What You'll Do

• Design and deploy large scale data processing pipelines (batch and streaming)
• Work with stakeholders to translate business problems into technical solutions
• Manage data lineage and ensure data security
• Mentor junior data engineers and review their outputs

📋 Requirements

• 2-4 years of experience in data engineering
• Proven expertise with Dataflow, Apache Beam, Spark, Akka, Pub/Sub
• Experience with data storage technologies like Bigtable, BigQuery, Spanner, CloudSQL/Postgres
• Ability to design data schemas based on domain understanding

✨ Nice to Have

• Experience with data migration projects
• Knowledge of dbt, Airflow, or similar orchestration tools
• Experience in multi-cloud environments

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health insurance
• 💻 Remote work
• 📈 Career development
• 🎓 Learning opportunities

📨 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