Data Engineer: Scalable Pipelines & Data Quality

TOSS-EX PR PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A tech company based in Singapore is looking for a skilled data engineer. The role involves building and maintaining data pipelines, ensuring data quality, and collaborating with teams to enhance scalability and automation. Candidates should possess a degree in Computer Science or a related field, along with strong skills in Python or Java. Experience with data modeling, SQL, and tools like Databricks and Azure Data Factory is highly valued. This position offers an opportunity to work in a fast-paced environment.

Qualifications

• Hands-on experience with Python or Java and understanding of OOP principles.
• Proficient in SQL for querying and transforming structured data.
• Experience with enterprise data warehouses or data lakes.
• Familiarity with data pipelines and transformation workflows.

Responsibilities

• Build, test, and maintain data pipelines and transformation workflows.
• Support data integration and processing for cross-functional projects.
• Perform data quality validation and troubleshooting.
• Assist with datasets and documentation for analytical needs.
• Collaborate to improve platform scalability and automation.

Skills

Python

SQL

Java

Data modeling

ETL Best Practices

Collaborative team work

Education

Bachelor’s or Master’s degree in Computer Science or Information Technology

Tools

Databricks

Azure Data Factory

Apache Spark

Hive

Delta Lake

Job description

A tech company based in Singapore is looking for a skilled data engineer. The role involves building and maintaining data pipelines, ensuring data quality, and collaborating with teams to enhance scalability and automation. Candidates should possess a degree in Computer Science or a related field, along with strong skills in Python or Java. Experience with data modeling, SQL, and tools like Databricks and Azure Data Factory is highly valued. This position offers an opportunity to work in a fast-paced environment.