Data Engineer

1. Education background requirements: Bachelor at relevant experience2. 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• Premium health insurance• Flexible check-in/check-out• Tet, performance bonus• Up to 19 days of leaves• Enjoy free coffee and tea• Laptop provided