Data Engineer

Success Human Resource Centre Pte Ltd.; Singapore; On-site; SGD 66,011 - 79,068; Full time

Job summary

Success Human Resource Centre Pte Ltd. is seeking a professional to design and maintain data ETL processes in Singapore. This role involves optimizing data infrastructure and collaborating with stakeholders to meet their data needs.

The ideal candidate will have at least 2 years of experience in relevant technologies, including SQL, Python, and data warehousing. Excellent communication skills and the ability to work independently are crucial.

Qualifications

• At least 2 years of experience in SQL/NoSQL and BI visualization (e.g., Tableau, Power BI).
• Experience in developing and maintaining ELT/ETL scripts.
• Strong command of English, both written and spoken.

Responsibilities

• Design, develop, and maintain data ETL processes to meet business needs.
• Facilitate technical planning to optimize data infrastructure.
• Collaborate with stakeholders to understand data needs.

Skills

SQL/NoSQL and BI visualization

Python

Data warehousing technologies

Agile methodologies

Excellent communication

Tools

Tableau

Power BI

AWS Redshift

Google BigQuery

Microsoft Azure SQL Data Warehouse

Job description

Job Overview

• Employment type: Permanent
• Location: Tai Seng
• Salary: Up to $6.5k
• Working hours: Flexible

Job Responsibilities

• Design, develop and maintain data ETL processes, ensuring they fulfill business needs and SLAs.
• Facilitate technical planning and optimize the data infrastructure, models and pipelines to improve data platform stability.
• Design and develop Data Products to drive business outcomes.
• Collaborate with business stakeholders to understand their data needs and develop robust and scalable data models.
• Develop processes to answer recurring business questions and identify opportunities for improvement.
• Ensure data quality through continuous improvement and monitoring.

Requirements

• At least 2 years of prior experience in the following technologies and languages:
  • SQL/NoSQL and BI visualization (e.g., Tableau, Power BI, AWS Quicksight)
  • Python or other related programming languages; developing and maintaining ELT/ETL scripts and pipelines
  • Experience with data warehousing (e.g., AWS Redshift, Google BigQuery, Microsoft Azure SQL Data Warehouse)
• Able to work closely with various internal teams and stakeholders to deliver tasks when required.
• Data‑driven and highly organized.
• Able to work independently; self‑organize, prioritize and execute tasks assigned.
• Deadline‑oriented and self‑motivated, with the ability to think outside the box.
• Experience with Agile, weekly sprint and release working models.
• Strong command of English, both written and spoken.
• Excellent communication skills – very good at inter‑ and intra‑team communication.
• Team player who endorses a collaborative work style.