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VINOVA PTE. LTD. is seeking an experienced Data Engineer to support the development and maintenance of enterprise data products within their data platform. The ideal candidate will have strong expertise in AWS services, data engineering practices, and collaborative problem-solving skills to work with cross-functional teams.
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Job Summary
The role involves designing and maintaining enterprise data products and pipelines using AWS services such as Glue, Athena, and S3.
Candidates will work with data virtualization tools like Denodo to create VQL queries and implement master data management practices.
The position requires developing Python scripts in AWS Glue and managing database performance through indexing and query tuning.
Matching Summary
Match Score: 75
**
VINOVA PTE. LTD. is seeking an experienced Data Engineer to support the development and maintenance of enterprise data products within their data platform. The ideal candidate will have strong expertise in AWS services, data engineering practices, and collaborative problem-solving skills to work with cross-functional teams.
**
Skills & Requirements
Must-have
3+ years data engineering experience
Python scripting for AWS Glue
VQL and SQL query development
AWS Glue Athena S3 RDS expertise
Data modeling with ER Studio
Denodo data virtualization knowledge
CI/CD pipeline implementation
Nice-to-have
Experience with Tableau or Power BI
Knowledge of AI technologies and LLMs
Familiarity with AWS SageMaker deployment
Experience with Azure AI or Bedrock
Strong stakeholder collaboration skills
Agile sprint planning participation
Key Requirements
At least 3 years of data engineering experience
Proficiency in Python, VQL, and SQL
Experience with version control systems like Gitlab