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Cloud Data Engineer

SpringCube

Full time - Manager

IT Services & Consulting

Singapore ( Onsite )

Published 3 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.

Company Overview

This company is a leading provider of IT infrastructure services. They specialize in designing, building, managing, and modernizing complex technology systems for businesses worldwide.

Cloud Data Engineer

The Role

As a Data Expert, you will play a crucial role in bridging business challenges with innovative solutions. You’ll leverage a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering to drive impactful outcomes.

In this dynamic role, you will:

  • Deeply understand business objectives and requirements, translating them into actionable data problems.
  • Collect and explore data, identifying underlying patterns and insights to guide hypothesis creation.
  • Lead the process of business understanding, data understanding, and data preparation.
  • Develop and implement statistical and mathematical models to address complex business challenges.
  • Evaluate and refine models to ensure optimal performance and business value.
  • Deploy models as code to applications and processes, ensuring their ongoing effectiveness.
  • Gain a comprehensive understanding of business processes, identifying areas for improvement and crafting data-driven solutions.
  • Develop and implement data governance standards and policies to ensure data security, privacy, accuracy, and availability.
  • Contribute to data management, migration, strategy, change management, and policy and regulation initiatives.

Your Future

Every position offers opportunities for career growth. You’ll gain valuable hands-on experience, access learning resources, and have the chance to certify in major platforms. Whether you seek to broaden your knowledge or specialize in a particular domain, you can find your path here.

Who You Are

You are a skilled professional with a proven track record and a strong growth mindset. You are customer-focused, prioritizing their success in all your endeavors. You are also open and inclusive in your approach to collaboration.

Required Skills and Experience

  • 5+ years of Data consulting experience, or relevant experience in the AI & Analytics domain, with a strong history of building and maintaining client relationships.
  • Proven ability to collaborate with customers and partners to identify new Data and AI opportunities, develop proposals, and position solutions effectively.
  • Experience organizing and leading educational and ideation workshops on AI and Generative AI.
  • Deep understanding of customer needs and ability to assess their data maturity.
  • Expertise in evaluating and recommending appropriate data pipelines, frameworks, tools, and platforms.
  • Proven ability to lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions.
  • Experience developing end-to-end AI PoC projects using Python, Flask, FastAPI, and Streamlit.
  • Proficiency in cloud services (AWS / GCP / Azure) for deploying PoCs and pipelines.
  • Experience with big data frameworks both on-premises and on cloud.
  • Ability to collaborate with AI architects, engineers, and data scientists to develop tailored Data and AI solutions.
  • Proven ability to lead the integration and deployment of data and AI products.
  • Strong understanding of big data technologies, streaming applications, and data modeling.
  • Experience working with customers across various industries, understanding their unique challenges and requirements.

Preferred Skills and Experience

  • Bachelor’s degree in computer science, Information Security, or a related field.
  • Cloud certifications related to data, analytics, and architecture in AWS, GCP, or Azure.
  • Excellent communication and interpersonal skills for effective collaboration with clients and team members.
  • Strong statistical and analytical skills.
  • Advanced proficiency in PowerPoint and Excel.
  • Strong business acumen and understanding of industry trends and challenges in Data, AI, and Generative AI.
  • Strong leadership skills, with a proactive and self-driven attitude.
  • Advanced communication and storytelling skills.
  • High adaptability and flexibility in handling 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.