Job description:
At Fujitsu, we're on a mission to create a more sustainable world by building trust in society through innovation. Since our inception in Japan in 1935, Fujitsu has consistently been at the forefront of technological advancement. Today, we stand as a global leader in digital transformation, dedicated to reshaping businesses and society in the digital age.
What truly sets us apart is our family of nearly 130,000 dedicated employees that spans over 50 countries, forming a diverse and dynamic community. We are committed to helping our employees grow and develop their careers. We believe that everyone has the potential to achieve great things, and we are dedicated to providing the resources and opportunities that our employees need to succeed.
We invite you to take the next step in your career journey and apply. Thank you for being a part of Fujitsu. We look forward to growing together toward a brighter future.
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.
At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity and inclusion are essential to our success, and we are committed to creating an environment where all employees can thrive.
We promote diversity, equal opportunity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by applicable law.
We believe that everyone has something to contribute, and we are committed to creating a workplace where everyone can reach their full potential.
Profile description:
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 offer:
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