Data Engineer (AWS)

Our client, one of Asia-Pacific’s leading organizations is looking for:
Data Engineer (AWS)
Key Responsibilities:

• Design, develop, and maintain data pipelines and ETL processes using AWS services (Glue, Athena, S3, RDS)
• Work with data virtualisation tools like Denodo and develop VQL queries
• Ingest and process data from various internal and external data sources
• Perform data extraction, cleaning, transformation, and loading operations
• Implement automated data collection processes including API integrations when necessary
• Design and implement data models (conceptual, logical, and physical) using tools like ER Studio
• Develop and maintain data warehouses, data lakes, and operational data stores
• Develop and maintain data blueprints 
• Create data marts and analytical views to support business intelligence needs using Denodo, RDS
• Implement master data management practices and data governance standards
• Develop Python scripts in AWS Glue for data processing and automation
• Write efficient VQL/SQL queries and stored procedures
• Design and develop RESTful APIs using modern frameworks and best practices for data services
• Work with AWS Sagemaker for machine learning model deployment and integration
• Manage and optimise database performance, including indexing, query tuning, and maintenance
• Work in an Agile environment and participate in sprint planning, daily stand-ups, and retrospectives
• Implement and maintain CI/CD pipelines for automated testing and deployment
• Participate in peer code reviews and pair programming sessions

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• At least 4 years of experience in data engineering or similar role
• Strong proficiency in Python, VQL, SQL
• Experience with AWS services (Glue, Athena, S3, RDS, Sagemaker)
• Knowledge of data virtualisation concepts and tools (preferably Denodo)
• Experience with BI tools (preferably Tableau, Power BI)
• Understanding of data modelling and database design principles
• Familiarity with data governance and master data management concepts
• Experience with version control systems (Gitlab) and CI/CD pipelines
• Experience working in Agile environments with iterative development practices
• Strong problem-solving skills and attention to detail
• Excellent communication skills and ability to work in a team environment
• Knowledge of AI technologies (AWS Bedrock, Azure AI, LLMs) would be advantageous

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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Data Engineer (AWS)”

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Jagveer Singh Arora
EA Personnel Registration Number: R22109615

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