(Senior) Data Engineer (Python, AWS, SQL, ETL, Hadoop)

Top 3 reasons to join us

• Opportunity for regional scale (South East Asia)
• Enrich your skills and develop your potential
• Enjoy motivating working conditions

Job description

• 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.

Your skills and experience

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.

Why you'll love working here

• 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