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:

• 2+ 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