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Data Engineer

SpringCube

Full time - Senior Associate/ Asst Manager

Aerospace, Aviation & Airlines

Singapore ( Onsite )

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Engineer

Company Overview
This company is a global leader in gateway services and Asia’s top provider of food solutions. They offer innovative food technologies and resilient supply chains to create quality, sustainable food for airlines, food service chains, retailers, and institutions. With operations in over 215 locations across 27 countries, they connect people, businesses, and communities through comprehensive services in various industries such as airlines, eCommerce, and freight forwarding.

Role Overview
The Data Engineer will work across teams to provide technical subject matter expertise, contributing to the successful implementation of data solutions using modern technologies. This role involves the planning, execution, and delivery of data initiatives, with a focus on expanding and optimizing data pipelines and architecture. The position requires hands-on development using Microsoft Azure data engineering tools, Databricks, and data integration with Python and Java.

Key Responsibilities

  • Develop and maintain scalable data pipelines to ingest, process, and store data from various sources.
  • Optimize data processing and storage for high-volume, near-real-time, and batch data pipelines.
  • Implement data quality checks, monitoring, and alerting to ensure accuracy and availability.
  • Troubleshoot and resolve data pipeline issues to minimize business disruption.
  • Collaborate with teams to define functional and technical requirements.
  • Document technical specifications, processes, and workflows.
  • Manage stakeholder expectations and ensure clear communication.

Qualifications

  • Required Experience:
    • 3+ years of experience in data engineering.
    • Proficient in Python, Java, and SQL.
    • Familiar with cloud computing platforms and data engineering tools.
    • Experience with data lake and data warehouse pipelines.
    • Knowledge of technical integrations (e.g., microservices, API, stream processing).
    • Familiar with CI/CD pipeline tools like Azure DevOps or GitHub.
    • Strong communication skills for explaining technical concepts to non-technical stakeholders.
  • Preferred Experience:
    • Tertiary qualifications in computer science, information technology, engineering, or related discipline.
    • Cloud technology and data engineering certifications.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.