Senior Data Engineer: Scalable ETL & Analytics Pipelines

FedEx; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A global logistics company in Singapore is seeking a Data Engineer to design, develop, and maintain scalable data pipelines for analytics and business intelligence. This role involves cross-functional collaboration with various stakeholders to ensure data integrity and optimize data infrastructure. The ideal candidate will have experience in Python, SQL, and data warehousing, and is expected to mentor junior engineers. This position is perfect for someone passionate about data solutions in the logistics domain.

Qualifications

• Experience with Python programming and software engineering.
• Knowledge of data warehousing and data modeling practices.
• Proficient in SQL and relational databases.

Responsibilities

• Design, develop, and maintain ETL processes for diverse data sources.
• Build scalable data systems for analytics within logistics.
• Collaborate closely with analysts and stakeholders on data requirements.
• Enhance data infrastructure for performance and reliability.
• Implement processes for data accuracy and integrity.
• Proactively monitor pipelines and resolve issues promptly.
• Mentor junior engineers and support their growth.
• Participate in projects from POC to full-scale production.

Skills

Python Programming

Data Warehousing

SQL

Software Engineering

Data Modeling

Concurrency

Multithreading

Cloud and Azure

CI/CD

Version Control

Job description

A global logistics company in Singapore is seeking a Data Engineer to design, develop, and maintain scalable data pipelines for analytics and business intelligence. This role involves cross-functional collaboration with various stakeholders to ensure data integrity and optimize data infrastructure. The ideal candidate will have experience in Python, SQL, and data warehousing, and is expected to mentor junior engineers. This position is perfect for someone passionate about data solutions in the logistics domain.