At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age.

With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs).

Primary Skills
Azure Data Factory, Azure Synapse Analytics, Azure Databricks: Extensive experience in building and managing scalable data pipelines for data integration, transformation, and analysis.
Azure Data Lake Storage, Azure SQL Database: Proven ability to manage and optimize data storage solutions, ensuring data accessibility and reliability.
Azure Machine Learning: Expertise in developing, training, and deploying machine learning models using Azure's machine learning tools and services.
Data Warehousing & Data Modeling: Strong experience with designing and maintaining data warehouses, with deep understanding of ETL processes and data models.
Programming in Python or R: Skilled in writing scripts for machine learning model development using libraries like Scikit-learn, TensorFlow, and PyTorch.
SQL & Relational Databases: Advanced SQL skills with hands-on experience managing relational databases and executing complex queries.
Cloud Services Integration: Skilled in integrating multiple Azure services, ensuring smooth and secure data flow across platforms.

Secondary Skills
Power BI (Data Visualization): Proficient in creating visual dashboards and reports to provide actionable insights from data.
Azure Cognitive Services, Azure Functions, Azure Logic Apps: Basic understanding and experience with additional Azure services that enhance automation and AI functionality.
Big Data Technologies: Familiarity with big data frameworks such as Hadoop and Spark, aiding in the processing of large datasets.
Agile/Scrum Methodologies: Experience in following Agile methodologies for effective project management and team collaboration.
Data Security & Compliance: Knowledge of best practices in data security, ensuring compliance with industry regulations for secure data handling.
Version Control (Git): Basic proficiency in version control tools to manage codebase and ensure collaboration across teams