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OnPoint E-commerce

Data Engineer (9-month contract)

Early Applicant
  • Posted a month ago
  • Be among the first 10 applicants

Job Description

Responsibilities

  • Design and implement data models, data-marts, and datasets on a Hadoop-based data warehouse and data hub.
  • Interface directly with business and systems subject matter experts to understand analytic needs and determine logical data model requirements.
  • Develop and implement ETL processes across Hadoop, BI systems, and databases.
  • Work closely with data architects to identify common data requirements and develop shared solutions.
  • Develop close collaboration with senior analysts and data owners across multiple business domains.
  • Maintain data modeling standards and ETL best practices.
  • Support data model and ETL solutions in production.

Qualifications

1. Education background requirements: Bachelor at relevant experience

2. Experience/Industry requirements:

  • Have a B.A./B.S. and 3-5 years of relevant work experience; or an equivalent in education and experience.
  • Hands-on experience with AWS Stacks, SQL, etc.
  • Possess strong analytical skills with the ability to analyze raw data, draw conclusions, and develop actionable recommendations.
  • Proven track record of excellence and consistently delivered the past project successfully.
  • Hands-on experience with AWS, Azure, GCP.
  • Experience with Python or Scala.
  • Understanding of continuous integration and continuous deployment on AWS.
  • Experience with a large scale data lake or warehouse implementation on any of the public cloud (AWS, Azure, GCP).
  • Strong background in preparing data for analysis and reporting: creating analytical datasets and working with others to define simple to use data models (i.e. star schema).
  • Experience with analytical tools for data discovery & modeling, visualization, and analysis.

3. Competency requirements:

  • Analysis & Problem Solving: Identifies and analyses a range of problems by isolating key issues, evaluating relevant data and reaching logical conclusions
  • Client Centric: Building strong customer relationships and delivering customer-centric solutions.
  • Communication: Communicates confidently and professionally, respecting the audience, engendering confidence and trust from external stakeholders and from individuals, teams, departments and the company
  • Accountability & Ownership: Plans and balances a range of tasks, assignments, projects and resources. Is able to cope with conflicting demands without undue disruption in order to get things done.

Benefits

  • Allowances
  • Work from home 4 days/month
  • Full salary insurance
  • Full salary in probation
  • Premium health insurance
  • Flexible check-in/check-out
  • Tet, performance bonus
  • Up to 19 days of leaves
  • Enjoy free coffee and tea
  • Laptop provided

More Info

Industry:Other

Function:Data Engineering

Job Type:Permanent Job

Date Posted: 28/08/2025

Job ID: 125017307

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Last Updated: 18-09-2025 07:29:11 PM
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