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

Onpoint
AB Building, 27B Nguyen Dinh Chieu,, Quận 1, TP Hồ Chí Minh
Tại văn phòng
Đăng 10 giờ trước
Chuyên môn:
Lĩnh vực:
Thương Mại Điện Tử
Vận Tải, Logistics và Kho Hàng
Mạng Lưới và Cơ Sở Hạ Tầng
Sản Phẩm Phần Mềm và Dịch Vụ Web
Dịch Vụ Tài Chính

3 Lý do để gia nhập công ty

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

Mô tả công việc

  • 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.

Yêu cầu công việc

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.

Tại sao bạn sẽ yêu thích làm việc tại đây

  • 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

E-commerce solution partner, help brands & retailers become more successful in Vietnam & SEA region

Mô hình công ty
Sản phẩm
Lĩnh vực công ty
Thương Mại Điện Tử
Quy mô công ty
301-500 nhân viên
Quốc gia
Vietnam
Thời gian làm việc
Thứ 2 - Thứ 6
Làm việc ngoài giờ
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Data Engineer (Python, Cloud, SQL)

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