Middle Data Engineer (вакансія неактивна)

About the Role

We are looking for a Middle Data Engineer to design and implement scalable data pipelines that support Generative AI applications. You will work with large-scale datasets, optimize performance, and ensure seamless data integration across AI workflows.

Responsibilities:

• Design and develop scalable data pipelines to support AI/ML models.
• Work with structured and unstructured data for training and inference.
• Optimize ETL workflows for real-time and batch processing.
• Ensure data quality, governance, and security in cloud environments.
• Collaborate with AI/ML engineers to streamline data workflows.
• Deploy and manage data infrastructure on AWS, GCP, or Azure.

Requirements:

• 3+ years of experience in Data Engineering and Big Data technologies.
• Expertise in ETL pipelines, data warehousing, and distributed computing.
• Strong knowledge of SQL, NoSQL, and data lakes.
• Experience with cloud-based data services (AWS Glue, BigQuery, Azure Data Factory).
• Proficiency in Python, Spark, Kafka, Airflow.
• Experience with CI/CD, DevOps, and Agile methodologies.
  
  

  ❤️ What We Offer

  • 🚀 A role with real ownership and influence on delivery
  • 🌍 International eCommerce projects with global clients
  • 📈 Transparent growth path toward Middle+ → Senior PM
  • 🎓 Company-supported learning & certification programs
  • 🏠 Fully remote work with a flexible schedule
  • 🏝 Paid vacation & sick leave
  • 🩺 Medical insurance & well-being support
  • 💰 Competitive compensation
  • 🔎 Mature processes and open team culture