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Cloud Data Engineer – Building and Deploying Scalable Data Solutions

SpringCube

Full time - Manager

IT Services & Consulting

Singapore ( Hybrid )

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 – Building and Deploying Scalable Data Solutions

Company Overview
This organization specializes in designing, managing, and modernizing mission-critical technology systems for global enterprises. With a focus on advancing digital ecosystems, it combines innovative partnerships and investments to unlock potential for its clients. Supported by a workforce of over 90,000 professionals, the company serves 75 of the Fortune 100, driving continuous growth and adaptation in a rapidly evolving digital landscape.

Job Description
As a Cloud Data Engineer, you will bridge business needs with data-driven solutions. Leveraging a blend of advanced methodologies, technology, and consulting expertise, you will design and deploy innovative data frameworks and AI models. Your role will encompass all stages of data transformation—from conceptualization to deployment—while ensuring compliance with data governance standards.

Key Responsibilities

  • Collaborate with customers to identify AI and data transformation opportunities, delivering tailored solutions.
  • Lead educational workshops and ideation sessions on AI and Generative AI.
  • Assess data maturity and recommend appropriate pipelines, frameworks, and tools.
  • Design and implement end-to-end AI proof-of-concept projects using Python, Flask, FastAPI, and Streamlit.
  • Deploy and manage solutions on cloud platforms such as AWS, GCP, or Azure.
  • Oversee feasibility studies and develop scalable AI models, integrating big data frameworks.
  • Stay updated on advancements in data technologies, offering thought leadership and best practices.
  • Partner with cross-functional teams to package AI offerings and enhance customer engagements.

Requirements

  • Experience: 5+ years in data consulting, AI, or analytics with proven client relationship management skills.
  • Technical Skills: Expertise in Python, Flask, FastAPI, Streamlit, and cloud platforms (AWS/GCP/Azure).
  • Big Data Knowledge: Experience with big data frameworks, streaming applications, and data modeling.
  • Leadership: Ability to lead feasibility studies, workshops, and deployment projects.
  • Business Acumen: Strong understanding of industry-specific challenges and data strategies.

Preferred Skills

  • Bachelor’s degree in Computer Science, Information Security, or related fields.
  • Cloud certifications in data, analytics, or architecture (AWS, GCP, or Azure).
  • Proficiency in statistics, PowerPoint, and Excel.
  • Advanced communication, storytelling, and organizational skills.
  • Flexibility and adaptability to shifting priorities.

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.