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).

Senior AWS Data Engineer 

• AWS Glue: Familiarity with AWS Glue for carrying out ETL operations, including understanding of Glue Catalog, Glue Jobs, and Glue Crawlers.
• AWS S3: Good knowledge of AWS S3 for data storage and retrieval, including understanding of S3 bucket management, data transfer, and security features.
• AWS Lake Formation: Experience with AWS Lake Formation for creating, securing, and managing data lakes, including understanding of data lake architecture and security policies.
• AWS Athena: Ability to use AWS Athena for data querying, including basic SQL knowledge and the ability to optimize queries for performance.
• Data Modelling: Skills in designing and implementing data models for specific use cases.
• Security: Basic understanding of AWS security best practices, including IAM roles, security groups, and encryption.
• Performance Tuning: Skills in optimizing the performance of AWS services for specific use cases.
• Troubleshooting: Ability to identify and resolve issues related to AWS services.
• Communication: Ability to explain technical concepts to non-technical team members.
• Project Management: Ability to handle multiple projects at the same time and meet deadlines.
• AWS Certification: Having an AWS certification, such as the AWS Certified Big Data or AWS Certified Solutions Architect, would be beneficial.

Nice to have:

• AWS Redshift: Understanding of AWS Redshift for data warehousing tasks, including knowledge of data loading, data modelling, and performance tuning.
• AWS Aurora: Familiarity with AWS Aurora for relational database services, including understanding of database management, SQL, and database optimization.

We are committed to equality of opportunity for all and to offer

• Competitive salary;
• 100% Remote work;
• Employment directly with Fujitsu with permanent contract;
• Work life balance and 25 annual leave days;
• Life insurance and Private health insurance extensive to children for free and since first day of employment;
• International career in a dynamic and enthusiastic environment;
• Training and internal career progression plan upon hiring;
• Several discounts available with our partners;
• The chance to get involved in our Social Responsibility program and participate in several initiatives with focus on well-being, diversity and inclusion, environment and our community;
• ... And much more!