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Data Engineer – Data Requirements & Solution Development

SpringCube

Full time - Senior Associate/ Asst Manager

IT Cloud Computing, Software & SaaS

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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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.

Data Engineer – Data Requirements & Solution Development

Company Overview
This organization is a global leader in data management and governance, helping businesses enhance their digital workplaces across various collaboration platforms. With a strong network of channel partners and cloud marketplace integrations, the company is committed to empowering its employees through a culture driven by agility, passion, and teamwork, offering opportunities to shape careers and make meaningful impacts.

Job Description
The Data Engineer will play a key role in transforming the organization’s approach to structured and unstructured data within the Enterprise Knowledge Department. This role involves analyzing data needs, improving data processes, and developing IT systems and applications to meet data management requirements.

Key Responsibilities

  1. Analyze data needs and document technical requirements.
  2. Plan, design, and implement data engineering jobs and reporting solutions for analytics.
  3. Migrate data collection processes to more efficient channels.
  4. Develop and execute test plans for system testing and user acceptance testing.
  5. Collaborate with technical teams to ensure seamless deployment and adoption of solutions.
  6. Monitor IT solutions to ensure smooth operation and address production issues.

Qualifications

  • Strong understanding of waterfall and Agile methodologies.
  • Experience with DevOps deployment and data virtualization tools (e.g., Denodo preferred).
  • Proficiency with reporting/visualization tools like SAP BO and Tableau.
  • Hands-on experience with big data technologies such as Hive, Impala, and Cloudera Data Platform.
  • Expertise in big data engineering with Python, Pyspark, Linux, and ETL tools like Informatica.
  • Strong SQL skills, data modeling, and analytics experience.
  • Knowledge of data warehouse implementations and troubleshooting complex technical issues.
  • Familiarity with high-availability, high-performance systems hosted in data centers or hybrid cloud environments is a plus.

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.