Junior Data Engineer (Python): Build Scalable Data Pipelines

InfoCepts; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A global data solutions provider in Singapore is seeking a Junior Data Engineer to build scalable data pipelines and assist users with data analytics. The ideal candidate will hold a bachelor's degree in a relevant field and have proven experience in data engineering, particularly with Python/Pyspark and ETL tools. This role includes collaborating with stakeholders, optimizing data workflows, and ensuring data governance. A strong communicator who can train users is essential. Competitive salary offered.

Qualifications

• Proven experience as a Data Engineer.
• Experience with ETL tools and data integration processes.
• Experience in providing user support and training is highly desirable.

Responsibilities

• Build scalable data pipelines, ensuring data integrity and availability.
• Collaborate with stakeholders to understand their data needs and provide solutions.
• Assist users in utilizing effectively, providing training and support.
• Monitor and optimize data workflows and queries for performance improvements.
• Implement best practices for data governance and compliance.
• Document data architecture and processes for knowledge sharing.
• Troubleshoot and resolve data processing issues.

Skills

Python/Pyspark

Data Engineering

ETL tools

Excellent communication skills

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Job description

A global data solutions provider in Singapore is seeking a Junior Data Engineer to build scalable data pipelines and assist users with data analytics. The ideal candidate will hold a bachelor's degree in a relevant field and have proven experience in data engineering, particularly with Python/Pyspark and ETL tools. This role includes collaborating with stakeholders, optimizing data workflows, and ensuring data governance. A strong communicator who can train users is essential. Competitive salary offered.