Immerse yourself in a dynamic environment as a Senior Data Scientist. This role presents a unique opportunity to design and implement data engineering solutions, leveraging Azure tools to build and train machine learning models. Your responsibilities will include managing big data processing workflows, collaborating with cross-functional teams, and ensuring solutions adhere to cloud security best practices.
Main Responsibilities:
* Develop robust data pipelines and transform raw data into analytics-ready formats.
* Design, train, and deploy machine learning models using Microsoft Azure AI services, including Machine Learning Studio, Databricks, and related tooling.
* Optimize big data processing workflows using Apache Spark, Hadoop, and Azure Synapse Analytics.
Mandatory Skills:
* Proven experience in data engineering with expertise in building scalable pipelines.
* Hands-on proficiency with Microsoft Azure AI services, including Machine Learning Studio, Databricks, and related tooling.
* Familiarity with big data technologies, particularly Apache Spark, Hadoop, and Azure Synapse Analytics.
* In-depth knowledge of cloud computing principles, especially within Azure infrastructure.
* Excellent analytical thinking and problem-solving capabilities.
Requirements:
* Mid-Senior level
* Full-time