🛠 Tech Stack

💼 About This Role

You'll design and maintain cloud data pipelines using Apache Spark and Snowflake. You'll collaborate with data, backend, and DevOps teams to build scalable data architectures. This role offers a personalized career plan and continuous training.

🎯 What You'll Do

• Design and develop ETL/ELT pipelines in cloud environments.
• Implement large-scale data processing with Apache Spark (PySpark).
• Build and optimize analytical data models in Snowflake.
• Develop and deploy data-oriented microservices with Python and FastAPI.

📋 Requirements

• Over 5 years as a Data Engineer or similar role.
• Solid experience with AWS (Glue, Lambda, S3, ECS, etc.).
• Proficiency in Apache Spark with PySpark for data processing.
• Experience with Snowflake and DBT for ELT pipelines.

✨ Nice to Have

• Experience with GCP (BigQuery) or Azure.
• Knowledge of Delta Lake, Iceberg, and Parquet.
• Experience with Airflow or other orchestration tools.

🎁 Benefits & Perks

• 📈 Personalized career plan and continuous training.
• 🏡 Flexible work and remote options.
• ⏰ Flexible hours and work-life balance.
• 🎓 Certifications and language courses.
• 💡 Social benefits tailored to your needs.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min