Senior Data Platform Engineer – Cloud-Native & DataOps

QUESS ENGINEERING PTE. LTD.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

QUESS ENGINEERING PTE. LTD. in Singapore seeks an experienced Data Engineer to design, build, and maintain scalable batch and real-time data pipelines.

You will develop robust ETL/ELT frameworks for large datasets and ensure data quality through cleansing, validation, and enrichment activities. The role requires 8+ years in data engineering with strong SQL and Python, plus experience in Informatica, Cloudera, MicroStrategy and Tableau.

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• 8+ years of data engineering, data integration, data warehousing, BI, or data platform development.
• Strong SQL and Python programming skills; experience with production-grade ETL/ELT pipelines.
• Experience with Informatica, Cloudera, MicroStrategy and Tableau.
• Experience with cloud data platforms and services; data modeling concepts.

Responsibilities

• Design, build, and maintain scalable batch and real-time data pipelines.
• Develop ETL/ELT frameworks for large datasets ingestion, transformation, and processing.
• Ensure data quality through cleansing, validation, and enrichment activities.
• Create reusable components, automation scripts, and process improvements.
• Implement enterprise data solutions across Data Warehouses, Lakes, and Marts.
• Develop cloud-native architectures on AWS and Azure; manage data services.
• Support data governance, lineage, security, and access controls.
• Collaborate with stakeholders to gather requirements and deliver data-driven solutions.
• Develop dashboards and reporting using Tableau, MicroStrategy, and Power BI.

Skills

SQL

Python

Data integration

Data modeling

Agile

Stakeholder mgmt

Cloud platforms

DevOps

8+ years exp

Education

Bachelor's Degree in CS/IT/Eng

Tools

Informatica

Cloudera

MicroStrategy

Tableau

Databricks

PySpark

AWS

Azure

Job description

QUESS ENGINEERING PTE. LTD. in Singapore seeks an experienced Data Engineer to design, build, and maintain scalable batch and real-time data pipelines.

You will develop robust ETL/ELT frameworks for large datasets and ensure data quality through cleansing, validation, and enrichment activities. The role requires 8+ years in data engineering with strong SQL and Python, plus experience in Informatica, Cloudera, MicroStrategy and Tableau.