Design and implement scalable data platforms and pipelines on AWS (with Databricks) or Azure/Fabric
Build reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and
Build ingestion, transformation, and curation workflows for structured and unstructured data
Implement modern data architectures including lakehouse patterns and medallion layering (bronze
Deliver high-quality datasets supporting analytics, machine learning, causal modeling, and
Enable data pipelines for GenAI use cases (LLMs, RAG pipelines, vector-based data flows)

🎯 Requirements

Apache Spark
Delta Lake
Python
SQL
Databricks
AWS

🎁 Benefits

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

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