Senior Data Engineer
6 months ago
**Mô tả công việc**:
(Mức lương: Thỏa thuận)
- Create operational data solutions that will power our new mobile apps (iOS and Android)
- Analyze systems that will be used to build brand new Machine Learning models
- Operate Marketing Tech systems to provide personalized real-time in-context service and marketing messages to customers that are relevant, useful and sensitive
- Enable and lead a team of data engineers to be the most creative and best they can be
- Influence our Cloud provider's product roadmaps to ensure they meet our needs
**Chức vụ**: Nhân Viên/Chuyên Viên
**Hình thức làm việc**: Toàn thời gian
**Quyền lợi được hưởng**:
WHY YOU SHOULD JOIN US
- Salary: Very open to negotiate
- 18 paid leaves/year (12 annual leaves and 6 personal leaves)
- Insurance plan based on full salary + 13th month salary + Performance bonus
- Meal allowance of 730,000 VND/month
- 100% full salary and benefits as an official employee from the 1st day of working
- Medical benefit for employee and family
- Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 49 countries)
- Free snacks, refreshment, and parking
- Internal training (Technical & Functional & English)
- Working time: 08:30 AM - 06:00 PM from Mondays to Fridays (meal breaks included)
**Yêu cầu bằng cấp (tối thiểu)**: Trung cấp - Nghề
**Yêu cầu công việc**:
JOB REQUIREMENTS
We are trying to reimagine the way we help and interact with our customers, so we are looking for
- Senior level: At least 4 years of experience in total at a Data Engineer or at a similar role
- Strong Data Engineer experience in one of following clouds: GCP/ AWS/ Azure (with at least 2
years working on cloud)
- As GCP Data Engineer, you must be strong at general Infrastructure and Services and particular
data services such as Big Query, Dataflow, Airflow, Cloud Function,
- As AWS Data Engineer, you must be strong at AWS technologies as following: data pipeline (Lake
Formation, MWAA, EMR, S3, Glue and Athena); data warehousing technologies (AWS Redshift)
- As Azure Data Engineer, you must be strong at Azure Data Lake Storage, Azure Databricks and
Azure Data Factory, Synapse,
- Proven successful design and implementation of large and complex data solutions (Data Warehouse, Data Lake) using various architectural patterns such as Microservices
- Experience with Advanced SQL and Python skills
- Experience in using DevOps while working Cloud data platforms like using Terraform for
Infrastructure as Code (IaC), GitOps, using Docker Kubernetes
- Good education background of Information Technology (IT) and Information and Communication Technology (ICT)
- Ability to influence both technical and business peers and stakeholders
- Leadership experience of engineering teams, not just their technical skills, but also their careers and ambitions since you are passionate and empathetic
- Lead by example - jump on the tools when required to support the team
- Good command of English verbal communication
- If you have work experience with Marketing domains, you will be preferred
You are not expected to have 100% of these skills. At HCLTech, a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we would love to hear from you.
**Yêu cầu giới tính**: Nam/Nữ
**Ngành nghề**: CNTT - Phần Mềm,Frontend (HTML/CSS),Java
Trung cấp - Nghề
Không yêu cầu
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