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Cloud Data Engineer – Cloud Solutions Development

SpringCube

Full time - Senior Manager

IT Services & Consulting

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD10,000 - SGD15,000

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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.

Cloud Data Engineer – Cloud Solutions Development

Company Overview
This organization specializes in enabling improved business outcomes through the effective use of data, AI, and user-friendly analytics. By partnering with clients, they address both common and complex challenges that hinder data-driven decision-making and deliver solutions to enhance business operations.

Job Description
The Cloud Data Engineer is responsible for developing scalable data pipelines, improving data models for business intelligence, and implementing processes to ensure data quality and accessibility. This role involves close collaboration with analytics and business teams, as well as frontend and backend engineers, product managers, and analysts.

Key Responsibilities

  1. Develop and maintain scalable data pipelines and integrate APIs to handle increasing data volumes and complexity.
  2. Collaborate with analytics and business teams to improve data models and enhance data accessibility for business intelligence tools.
  3. Implement processes to monitor data quality, ensuring accuracy and availability for business-critical operations.
  4. Perform data analysis to troubleshoot and resolve data-related issues.
  5. Contribute to the organization’s Cloud Center of Excellence (COE) initiatives by developing and sharing expertise in cloud solutioning.
  6. Mentor junior developers and support talent growth through recruitment, coaching, and capacity building.

Work and Technical Expertise

  • Proficiency in cloud services for AWS, Azure, or GCP.
  • Knowledge of cloud storage, compute services, and data engineering concepts.
  • Expertise in big data services such as Spark, Hive, Airflow, and event stream processing technologies like Kafka.
  • Strong programming skills in Java, Scala, or Python.
  • Familiarity with containerization tools such as Docker and Kubernetes.
  • Experience with DevOps automation, cloud data warehousing (Snowflake, Redshift, BigQuery), and ETL workflows.
  • Knowledge of databases, including NoSQL, and operating systems (Linux preferred).
  • Familiarity with Agile development methodologies and security/privacy considerations for cloud infrastructure.

Qualifications

  • 7+ years of overall work experience, including 3–6 years in AWS, Azure, or GCP-related projects.
  • BS degree in IT, MIS, or a related field.
  • Strong verbal and written communication skills for technical collaboration.
  • Proven ability to mentor team members and lead complex projects.
  • Adaptability and a problem-solving mindset.

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. To apply, click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.