Senior Data Engineer

📋 Description Design and implement scalable data platforms and pipelines on AWS (with Databricks) or Azure/Fabric Develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark Build ingestion, transformation, and curation workflows for both structured and unstructured data Implement modern data architectures including lakehouse patterns and medallion layering (bronze Deliver high-quality datasets that support analytics, machine learning, causal modeling, and Enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data 🎯 Requirements Strong hands-on experience with Apache Spark and Delta Lake Strong programming skills in Python and SQL Proven experience building batch and streaming data pipelines and production-grade data platforms Solid understanding of data modeling, data quality, and governance principles Strong, demonstrable hands-on experience with AWS data services (e.g., S3, Glue, EMR, Redshift Experience with lakehouse architectures and distributed data systems 🎁 Benefits Private health insurance Education program Wellbeing program Free beverages Events Competitive conditions