Data Engineer

KYNDRYL (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology firm in Singapore is seeking a professional skilled in business intelligence and dashboard development. You will gather stakeholder requirements, design data solutions, and enhance dashboard performance. Ideal candidates have strong expertise in Tableau, QuickSight, and AWS analytics services. This role offers growth opportunities and a dynamic work environment focused on customer success.

Qualifications

• Strong experience in business intelligence and dashboard development.
• Proficiency in data analysis, cleaning, and transformation processes.
• Experience with AWS analytics services like SageMaker and Athena.

Responsibilities

• Gather and analyse stakeholder requirements for new dashboard development.
• Design and develop dashboards supporting business decision-making.
• Provide ongoing support and enhancements based on user feedback.

Skills

Business intelligence and dashboard development

Data Visualization

AWS Analytics and AI Services

Data Management and Processing

Stakeholder Management

Communication and Collaboration

Tools

Tableau

QuickSight

SQL

Job description

Key Responsibilities

• Dashboard Development & Business Intelligence
  • Gather and analyse stakeholder requirements for new dashboard development and business insights
  • Understand the business requirements and propose the suitable solution by analysing suitable services that can facilitate the requirements as a whole
  • Design and develop additional dashboards and analytical workflows supporting business decision-making
  • Collect, clean, and transform data from various sources to support new analytical requirements
  • Collaborate with stakeholders to iteratively develop and refine dashboard solutions
  • Create user-friendly interfaces and visualisations enhancing business workflow efficiency
• Data Analysis & Future Scaling Support
  • Ensure dashboard performance optimisation and user accessibility
  • Provide ongoing support and enhancements based on user feedback
  • Support data validation and quality assurance during migration process
  • Assist with preparation for Phase 3 scaling initiatives for statutory boards
  • Support customisation of scripts and dashboards for different organisational contexts

Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and certification programs. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Who you are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills

1. Strong experience in business intelligence and dashboard development
2. Data Visualisation and Analytics
   • Strong background in Tableau and QuickSight dashboard development and performance optimisation
   • Experience with ETL processes and data pipeline design
   • Experience designing intuitive user interfaces and data storytelling through visualisations
   • Knowledge of data visualisation best practices and user experience principles
3. AWS Analytics and AI Services
   • Knowledge in AWS analytics services (SageMaker, QuickSight, Athena, Lambda)
   • Knowledge in using AWS services through Python SDK and Command Line Interface (CLI)
   • Experience with serverless data processing workflows and Lambda functions for data transformation
   • Understanding of AWS data lake architecture and analytics pipelines
4. Data Management and Processing
   • Strong expertise in data analysis, cleaning, and transformation processes
   • Strong expertise in data analysis, cleaning, and transformation processes
   • Proficiency in SQL for complex data queries and analysis
   • Knowledge of data quality assessment and validation techniques
5. Data Governance and Architecture
   • Ability to guide users in developing data taxonomy and classification frameworks
   • Experience in establishing data naming conventions and metadata standards
   • Knowledge of data governance principles for scalable analytics platforms
   • Skills in designing data models that support future analytical requirements
6. Stakeholder Management and Business Acumen
   • Experience in stakeholder engagement and business requirements gathering
   • Ability to conduct user interviews and translate business needs into technical solutions
   • Understanding of HR business processes and workflows (preferred)
   • Experience in change management and user adoption strategies
7. Communication and Collaboration
   • Strong communication skills for working with non-technical stakeholders
   • Ability to present complex data insights in clear, actionable formats. Experience in training end-users and creating documentation
   • Ability to adapt solutions for different organisational requirements and contexts