Data Scientist

AVEPOINT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A technology company in Singapore is seeking a skilled Data Engineer to analyze data needs, implement data engineering jobs, and ensure robust IT solutions. The ideal candidate will possess strong SQL, data modeling, and analysis skills, with hands-on experience in Python and ETL tools like Informatica. Responsibilities include refining data collection methods, developing test plans for system testing, and ensuring operational excellence. This role fosters agility and teamwork in a dynamic environment.

Qualifications

• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Understanding of reporting or visualization tools like SAP BO and Tableau is beneficial but not required.

Responsibilities

• Analyze the data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solutions.
• Ensure smooth operations and service levels of IT solutions.
• Support production issues with systems having high availability and performance.

Skills

Agile methodology

Data warehouse implementations

Troubleshooting skills

SQL

Data modeling

Data analysis

Python

PySpark

Linux

ETL tools

DevOps

Data virtualization tools

Reporting tools

Communication skills

Tools

Informatica

Hive

Impala

Cloudera Data Platform

Denodo

SAP BO

Tableau

Job description

What will you be doing?

Your responsibilities will include:

• Analyze the data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

OK, I’m interested… is this the job for me?

We look for people who value agility, passion and teamwork; those who can bring fresh ideas to the table and want the opportunity to learn, grow, and expand their careers. Bring your aptitude and build upon what you do best for our customers, partners, team, and you.

Other qualities that you’ll need to be a fit for this role include:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands‑on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands‑on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.