AWS Data Engineer
Fujitsu
Location Flexibility: Multiple Locations in Country
Req Id: 8875
Posting Start Date: 6/11/26
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).
Experience
Required Skills & Qualifications:
- 5+ years of professional experience in data engineering, with a strong focus on data warehousing or data lake development.
- 2+ years of hands-on experience with AWS data services.
- Programming: Strong proficiency in Python is essential.
- AWS Data Services: In-depth knowledge and hands-on experience with core AWS data services including: Storage: S3 (object storage, data lake foundation) Compute: AWS Glue, AWS Lambda Orchestration: Event Bridge, AWS Step Functions. Cataloging/Querying: AWS Glue Data Catalog, Athena
- SQL: SQL skills for data manipulation, querying, and optimization.
- Data Formats: Experience working with various data formats (e.g., Parquet, ORC, CSV, JSON, Avro).
- Version Control: Git, experience with branch and merge process.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to work independently and as part of a collaborative team.
- Proactive attitude and a strong desire to learn and grow.
- AWS Certifications (e.g., AWS Certified Data Engineer, AWS Certified Solutions Architect).
- Experience with other cloud platforms (Azure, GCP).
- Familiarity with containerization technologies (ECS, Docker, Kubernetes).
- Exposure to machine learning data pipelines and MLOps.
- Experience with data governance frameworks and tools.
- Understanding of data modelling techniques (e.g., dimensional modelling, data vault).
Visa Sponsorship Approved: No
At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.