Senior Executive - Data Analyst

jobline resources pte. ltd.; Singapore; On-site; SGD 67,000 - 112,000; Full time

Job summary

jobline resources pte. ltd. is seeking a Data Operations Specialist in Singapore to monitor data quality and collaborate with Licensees and Source Systems. You will run reporting through Power BI/Tableau and implement data governance and security guidelines.

You will design and build serverless applications on AWS, develop RESTful and GraphQL APIs, and create batch workflows while advancing cost efficiency and performance across data platforms.

Qualifications

• Bachelor Degree in Computer Science/IT or related.
• 2–4 years in application development, data analysis and data quality for enterprise IT; 2+ years AWS cloud development.
• Self-motivated, team player, able to multi-task.
• Excellent verbal and written communication and interpersonal skills.
• Familiar with AWS Lambda (Node.js, Python, Java, C#, Go), DynamoDB, RDS (SQL), REST APIs, GraphQL, API Gateway, S3, IAM and security best practices.

Responsibilities

• Perform daily monitoring to ensure Data Operations runs smoothly and data quality is achieved.
• Discuss Operation Tickets with Licensee / Source System / Institution.
• Provide monthly assessment of data quality dashboards across sectors.
• Run Power BI, Tableau or similar low-code/no-code tools to generate weekly, monthly, quarterly, and annual reports.
• Follow prescribed Data Governance and Data Security guidelines and principles.
• Opportunity to develop serverless code in AWS environment.
• Design and develop serverless applications using AWS Lambda, API Gateway, and other serverless services.
• Create event-driven architectures and microservices patterns.
• Develop RESTful APIs and GraphQL endpoints using AWS API Gateway.
• Integrate applications with AWS services like DynamoDB, S3, SQS, SNS, EventBridge.
• Implement database design and data modelling for NoSQL and SQL databases.
• Create batch processing workflows and scheduled tasks.
• Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy.
• Manage application security, authentication, and authorization using AWS IAM, Cognito.
• Optimise application performance and cost efficiency.
• Design and implement data processing pipelines using AWS Step Functions.

Skills

Data analysis

Data quality assessment

Teamwork

Multi-tasking

Verbal communication

Education

Bachelor Degree in Computer Science/Information Technology

Tools

Power BI

Tableau

AWS

REST APIs

GraphQL

Job description

Responsibilities

• Perform daily monitoring / check to ensure the Data Operations is smooth and Data quality is achieved for individual Licensee / Source System / Institution.


• Take ownership to discuss the Operation Tickets with the corresponding Licensee / Source System / Institution.


• Support to maintain and provide monthly assessment of data quality dashboards based on various sectors to track improvements and areas requiring attention


• Should be hands on to run the Power BI, Tableau or similar Low-Code or No-Code tools and generate the reports for weekly, Monthly, Quarterly and Annual reporting.


• Should be having the understanding and able to follow the prescribed Data Governance and Data Security guideline and principles.


• Will have an opportunity to develop Serverless code in AWS environment


• Design and develop serverless applications using AWS Lambda, API Gateway, and other serverless services


• Create event-driven architectures and microservices patterns


• Develop RESTful APIs and GraphQL endpoints using AWS API Gateway


• Integrate applications with AWS services like DynamoDB, S3, SQS, SNS, and EventBridge


• Implement database design and data modelling for NoSQL and SQL databases


• Create batch processing workflows and scheduled tasks


• Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy


• Manage application security, authentication, and authorisation using AWS IAM, Cognito


• Optimise application performance and cost efficiency


• Design and implement data processing pipelines using AWS Step Functions

Requirements

• Bachelor Degree in Computer Science, Information Technology or related degree;


• 2 to 4 years’ experience in Application Development, Data Analysis and Data Quality assessment for enterprise IT systems with 2+ years of AWS cloud development experience


• Self-motivated, driven, a good team player and strong ability to multi-task;


• Excellent verbal, written communication and interpersonal skills;


• Familiar with AWS Lambda (Node.js, Python, Java, C#, Go), AWS DynamoDB and RDS (SQL), REST APIs, AWS and GraphQL or any other Programming, Amazon API Gateway, Amazon S3, AWS CloudFormation or CDK and AWS IAM and security best practice (Good to have)

Licence no: 12C6060