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Junior Data Engineer

SpringCube

Full time - Associate/Junior Executive

IT Services & Consulting

Singapore ( Hybrid )

Published 4 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.

Junior Data Engineer

Company Overview
This company provides digital engineering and technology services to top global organizations. With a focus on early execution and industry expertise, they deliver impactful, agile solutions to address significant business challenges. By merging creativity with logic, the company supports clients in leveraging new technologies and positioning themselves as leaders in their industries.

Role Overview
As a Junior Data Engineer, you will work on projects utilizing both waterfall and Agile methodologies and gain hands-on experience in DevOps deployment and data virtualization. This role requires familiarity with big data engineering, data modeling, and data analytics, aiming to support high-performance and high-security systems across hybrid cloud environments.

Key Responsibilities

  • Apply project management methodologies, including waterfall and Agile, to complete projects efficiently.
  • Utilize DevOps deployment and data virtualization tools such as Denodo.
  • Work with reporting and visualization tools like SAP BO and Tableau.
  • Implement big data solutions using tools such as Hive, Impala, and Cloudera Data Platform.
  • Conduct big data engineering tasks with Python, PySpark, Linux, and ETL tools, including Informatica.
  • Demonstrate strong SQL skills and proficiency in data modeling and analysis.
  • Contribute to analytics and data warehouse implementations.
  • Troubleshoot complex system issues, covering areas from resource management to application stack traces.
  • Support systems with high availability, performance, and security in data centers or hybrid cloud environments.

Qualifications

  • Strong understanding of both Agile and waterfall project methodologies.
  • Hands-on experience with DevOps tools and data virtualization platforms like Denodo.
  • Proficiency in SQL, data modeling, and big data tools such as Python, PySpark, and Informatica.
  • Experience with SAP BO, Tableau, and other reporting tools.
  • Knowledge of analytics and data warehouse implementations.
  • Familiarity with high-availability, secure systems hosted across various environments is an advantage.

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.