Senior Data Engineer

📋 Description

• Design, build, and optimize cloud-based data platforms powering analytics and AI.
• Develop scalable batch, streaming, and near-real-time pipelines with governance and observability.
• Collaborate with data scientists, ML engineers, and platform teams to support AI/GenAI systems.
• Work primarily on AWS and Databricks, with exposure to Snowflake, Azure/Fabric, or GCP as plus.
• Implement lakehouse architectures and medallion patterns within Databricks.
• Enable data products and production-grade data solutions for AI use cases.

🎯 Requirements

• Strong hands-on experience with Apache Spark and Delta Lake; Python and SQL proficiency.
• Production-grade batch and streaming data pipelines; data modeling, quality, and governance.
• Hands-on AWS and Databricks expertise; familiarity with Snowflake/Azure/GCP is a plus.
• Experience with data architectures, governance, observability, and lakehouse patterns.
• Curiosity, collaboration, and ability to translate business requirements into robust data solutions.
• Nice to have: GenAI, RAG, vector databases, CI/CD for data, and IaC tools.

🎁 Benefits

• Flexible work options: remote and hybrid (country-dependent).
• International mobility and professional development programs.
• Access to cutting-edge tools, training, and industry experts.