AWS Data & Analytics Architect: Lakehouse & QuickSight
Adecco
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Job summary
Adecco in Singapore is seeking an experienced AWS Data Architect to design and deliver scalable data and analytics solutions on AWS, focusing on modern data lakehouse architecture, pipelines, governance, and reporting with Amazon QuickSight.
The role requires strong AWS data architecture experience, data lakes/lakehouse, ETL/ELT and data modelling, hands-on QuickSight, and familiarity with S3, Glue, Lake Formation, Athena, Redshift, Lambda and IAM.
Qualifications
- Strong experience in AWS data architecture and analytics.
- Experience with data lakes/lakehouse, ETL/ELT and data modelling.
- Hands-on experience with Amazon QuickSight.
- Knowledge of S3, Glue, Lake Formation, Athena, Redshift, Lambda and IAM.
- Experience in data governance, data quality and security.
- AWS certification would be an advantage.
Responsibilities
- Design end-to-end AWS data and analytics architecture.
- Develop scalable ETL/ELT pipelines and data integration solutions.
- Design data lakehouse, analytical and reporting models.
- Establish data governance, quality, security and access controls.
- Design Amazon QuickSight datasets, dashboards and reporting solutions.
- Translate business reporting requirements into scalable data solutions.
Skills
Tools
Job description
Adecco in Singapore is seeking an experienced AWS Data Architect to design and deliver scalable data and analytics solutions on AWS, focusing on modern data lakehouse architecture, pipelines, governance, and reporting with Amazon QuickSight.
The role requires strong AWS data architecture experience, data lakes/lakehouse, ETL/ELT and data modelling, hands-on QuickSight, and familiarity with S3, Glue, Lake Formation, Athena, Redshift, Lambda and IAM.
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