Data Engineer

4 weeks ago


Thành phố Hồ Chí Minh, Vietnam Amaris Consulting Full time

**Who are we? **:**Amaris Consulting** is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

**Brief Call**: Our process typically begins with a brief virtual/phone conversation to get to know you The objective? Learn about you, understand your motivations, and make sure we have the right job for you

**Interviews** (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities

**Case study**: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

We look forward to meeting you
**Job description**:
**ABOUT THE JOB**
- Responsible for implementing robust data pipeline using Azure Stack
- Responsible for creating reusable and scalable data pipelines
- Responsible for using Databrick to build model in Datalake/Azure Synapse
- Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
- Data engineers’ provision and set up data platform/Streaming data technologies that are on-premises and in the cloud.
- Manage and secure the flow of structured and unstructured data from multiple sources.
- The data platforms include relational databases, nonrelational databases, data streams, and file stores.

**ABOUT YOU**
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- From **2+ years** **of experience** in **data engineering**.
- Hand-on experience or knowledge of **Azure services** like HD Insight, Azure DataBricks etc.
- **Knowledge of Big Data** technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
- Contribution to industry/open source communities
- Knowledge and practical experience of cloud-based platforms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous
- Understanding of infrastructure (including hosting, container-based deployments and storage architectures) would be advantageous.
- Knowledge on Linux, Iseries, Windows

**Benefits**
- 13th-month salary
- 14+ annual leaves per year
- Premium healthcare insurance, starting from your probation period
- Project reviews and yearly performance appraisals
- Annual company trips
- Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.)
- International team with flexible working time + hybrid working
- Tailor-made career path
- Technical workshops and training courses
- Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries

**_ Equal Opportunity_



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