Data Engineer (Strong Middle / Senior) to $4500

We’re looking for an experienced Data Engineer to help our team design and implement reliable, scalable, and high-performance data solutions. If you have hands-on experience building data pipelines, working with cloud technologies, and optimizing complex systems — this position is for you.

Requirements:

• 3–4+ years of professional experience in Data Engineering;
• Proven experience in designing and deploying Data Lake or Data Warehouse pipelines;
• Strong understanding of ETL/ELT principles and large-scale data processing;
• Proficiency in SQL;
• Practical experience with Python for data processing and automation tasks;
• Hands-on experience with Spark (Cloud / On-Prem / Databricks);

• Experience working with at least one major cloud provider (AWS / GCP / Azure) in data-related environments.

   

Nice to have:

• Knowledge of Airflow or similar orchestration tools;
• Experience with Infrastructure as Code tools (Terraform, Terragrunt, Pulumi);

• Understanding of DevOps practices within the data engineering domain.

   

We Offer:

• Participation in building modern data processes and enterprise-grade solutions;
• Full-time schedule and the possibility of fully remote collaboration;
• A team of skilled engineers open to knowledge sharing and continuous improvement;
• Stable, long-term cooperation with opportunities for professional growth;
• Comfortable and well-equipped working environment (MacBook Pro, cosy office available if preferred);
• 18 business days of paid vacation, 10 paid sick leaves.
• English lessons to support continuous language improvement.