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Build and maintain data pipelines and analytics for mobility datasets using Python, SQL, and Databricks; validate data quality and deliver insights to clients.
Build and optimize Python-based data solutions using Pandas, NumPy, and SQL to support financial industry workflows.
Build scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Build and maintain scalable data pipelines and AI-ready data foundations for cutting-edge AI systems, including LLMs and agentic architectures, while collaborating with cross-functional teams.
Energy Data Engineer builds ML models and digital twins to optimize building energy use, analyzing HVAC data and creating dashboards for efficiency improvements.
Build and maintain Python scripts and Jupyter notebooks to process, analyze, and report fashion-industry data, collaborating with clients to extract and transform data from multiple sources.
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Builds, tests, and maintains data pipelines using Python/PySpark and AWS, with a focus on Databricks and Apache Spark for HR-tech job-matching.
Build and maintain data pipelines (ETL/ELT) using Python, Spark, and cloud services to feed analytics, AI, and ML initiatives for a leading Italian fintech company.
Designs, builds, and maintains scalable, high-performance data pipelines using Python, Spark, Hadoop, and Airflow for a product-focused team in Torino.
Builds digital twins and ML models to optimize energy use in buildings, analyzing HVAC data and deploying analytics dashboards.
Build and optimize data pipelines, warehouses, and analytics platforms for an insurtech company using Python, Spark, Kafka, and AWS.
Designs, builds, and maintains scalable, high-performance data pipelines using Python, PySpark, and PostgreSQL for a product-focused team in Torino.
Develop AI-driven applications in Python, integrating ML frameworks like TensorFlow/PyTorch and optimizing performance and scalability.
Build and optimize Python-based analytics pipelines for a sovereign wealth fund, using libraries like pandas, PySpark, and scikit-learn to process large financial datasets.
Build and maintain Python scripts for ETL and data migration between legacy and modern systems, ensuring data integrity and performance.
Develop AI-driven applications in Python, integrating ML frameworks like TensorFlow/PyTorch and optimizing performance for scalable systems.
Build and maintain containerized microservices in Python (FastAPI) for a biomedical data platform, including data ingestion pipelines, metadata standardization, and RESTful APIs while collaborating with bioinformaticians.
Build and maintain Python-based data pipelines and automation scripts using Pandas, Selenium, and SQL for data extraction and troubleshooting.
Builds and maintains Python-based ETL pipelines, cleans and transforms data using Oracle databases, and collaborates on system enhancements.
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