Mô tả công việc:
(Mức lương: Thỏa thuận)- Building and optimizing ‘big data’ data pipelines, architectures and data sets;
- Design, develop, and maintain data pipelines, warehouses, datalake.
- Build the data products that technical users will depend on for business intelligence and ad-hoc access.
- Work side by side with our Data Science to build and automate data pipeline, data ETL, etc. on distributed data processing platform such as Spark.
- Prepare data inputs for a generic blueprint "model builder"
- Build production data pipeline for daily ETL and model retraining
- End-to-end data processing, troubleshooting, and problem diagnosis.
Chức vụ: Nhân Viên/Chuyên Viên
Hình thức làm việc: Toàn thời gian
Quyền lợi được hưởng:
- Having chances to get attractive company bonus every month/year
- Company trip once a year + Joining party
- Salary and position is reviewed 1 time a year
- Bonus by individual ability and company’s performance.
- Social insurance, health insurance, unemployment insurance and other benefits
- Dynamic and sociable working environment.
Yêu cầu bằng cấp (tối thiểu): Đại Học
Yêu cầu công việc:
What we expect from you
We are looking for a candidate with a Data Engineer role, who has attained a Graduate degree in Computer Science, Informatics, Information Systems, Software Engineering, Statistic or another quantitative field. They should also have experience using the following/ have knowledge software/tools is plus:
- Good logical thinking;
- Passionate about coding and programming, innovation, and solving challenging problems;
- Understanding of computer science fundamentals (data structures and algorithms, operating systems, networks, databases, etc);
- Willing to work with cross-functional teams in a dynamic & fast-paced environment;
Preferred Qualifications (is plus)
- Big data tools: Kafka, Hadoop, Hive, Spark, Elastic Search;
- Relational SQL and NoSQL databases: MySQL, MongoDB, Hbase, Cassandra, Clickhouse;
- Data pipeline and workflow management tools: Airflow, Nifi;
Yêu cầu giới tính: Nam/Nữ
Ngành nghề: Big Data/Hadoop,CNTT - Phần Mềm
Đại Học
Không yêu cầu.