Data Engineer (Middle/Senior)

We are looking for a 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 💰 Competitive compensation 🔎 Mature processes and open team culture