Senior Data Analyst (1 Year Contract)

morgan mckinley pte. ltd.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

MORGAN MCKINLEY PTE. LTD. is seeking a data-focused developer in Singapore to support a government tech agency in healthcare. You will build and maintain applications for in-house initiatives in a cloud-native environment, harmonising data and delivering dashboards.

Reaction requires strong SQL and Power BI expertise, plus hands-on AWS services, REST/GraphQL APIs, and data governance best practices. CI/CD with AWS tools and secure access are essential.

Qualifications

• Bachelor degree in Computer Science, Information Technology or equivalent.
• 2–4 years of Application Development, Data Analysis and Data Quality experience for enterprise IT systems, with 2+ years AWS cloud development.
• Strong written and verbal communication and teamwork abilities.
• Familiar with AWS Lambda, DynamoDB, RDS/SQL, REST APIs, GraphQL and AWS security best practices.

Responsibilities

• Monitor data operations to ensure quality and smooth throughput across departments.
• Discuss operation tickets with the relevant departments and take ownership.
• Maintain monthly assessments of data quality dashboards across sectors.
• Run Power BI, Tableau or similar tools and generate reports on a weekly/monthly/quarterly/annual basis.
• Design and develop serverless apps using AWS Lambda, API Gateway and other services.
• Create event-driven architectures and microservices patterns.

Skills

SQL

Power BI

AWS

REST APIs

GraphQL

Node.js

Python

Java

C#

Go

Education

Bachelor in Computer Science or IT

Tools

AWS Lambda

AWS API Gateway

DynamoDB

S3

SQS

SNS

EventBridge

CloudFormation

CDK

Job description

Job Summary

You will be deployed to our client who is a leading government technology agency driving digital transformation and innovation in the healthcare sector. You'll be supporting the organization's data services where you will build and maintain applications for inhouse initiatives. You will alsp be working in cloud native environment and will be responsible for harmonizing data. Strong hands-on experience and knowledge in SQL and Power BI are required for this role.

Responsibilities

• Perform daily monitoring and check to ensure the data operations is smooth, and data quality is achieved for various departments.
• Take ownership to discuss the operation tickets with the corresponding departments
• Support to maintain and provide monthly assessment of data quality dashboards based on various sectors to track improvements and areas requiring attention
• Run Power BI, Tableau or similar Low-Code or No-Code tools and generate the reports for weekly, monthly, quarterly and annual reporting.
• 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 in Computer Science, Information Technology or equivalent
• At least 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 understanding and able to follow the prescribed Data Governance and Data Security guideline and principles.