AWS Data Engineer
Braga, 03, PT
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Tools in this posting
- python
- sql
- aws
- azure
- docker
- s3
Source — Tool mentions in context
- 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. Technical Skills:
Technical Skills: - 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.
- 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. Soft Skills:
Nice-to-Haves: - AWS Certifications (e.g., AWS Certified Data Engineer, AWS Certified Solutions Architect). - Experience with other cloud platforms (Azure, GCP).
- 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).
- Experience with other cloud platforms (Azure, GCP). - Familiarity with containerization technologies (ECS, Docker, Kubernetes). - Exposure to machine learning data pipelines and MLOps.
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Braga, 03, PT
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Posting history
- Status in our records
- Active
- First seen by us
- Sep 8, 2026
- Recorded sightings
- 1
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Report an errorJob description
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).
Required Skills & Qualifications
Experience:
- 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.
Technical Skills:
- 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.
Soft Skills:
- 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.
Nice-to-Haves:
- 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)
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.