Data Engineer

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Thông tin công việc

Chức Danh: Data Engineer

Loại hình công việc: Nhân viên chính thức

Mức lương: Cạnh tranh

Công ty: Công Ty CP Chứng Khoán VNDIRECT

Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS Big Data technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience with big data tools: Hadoop, Spark, Hive, etc.
Experience with relational SQL and NoSQL databases including Postgres, SQL Server, Oracle, MySQL, Solr, Elasticsearch, Cassandra.
Experience with data pipeline and workflow management tools: Luigi, Airflow, etc.
Experience with stream-processing systems: Storm, Spark-Streaming, Kafka, etc.
Experience with object-oriented/object function scripting languages: Python or Java.
Having knowledge in the financial market, or the stock market will be a plus (but don’t worry if you haven’t, you can learn all about how to be a successful stock investor after joining us!).

Benefits

Development opportunities

Working in the environment with talented young engineers with experience in developing financial and securities products
To be consulted and shared about the roadmap for capacity development and work at the company

Remuneration

Competitive income (including 13 months salary + holiday bonus, Tet + job efficiency, annual business bonus);
Receiving 100% of the salary probation if the job is passed in the first 2 months
Consider annual income changes

Work environment

Health care

Culture

Dynamic working environment, companion development
Always appreciate personal intelligence, collective, creative ideas to develop the team and company
Developing community cultural programs, courses, sharing and spreading knowledge
Teambuilding, Dclub, Volunteering

Yêu cầu bằng cấp: Chưa nhập

Yêu cầu hồ sơ:

Yêu cầu độ tuổi: Chưa nhập

Yêu cầu kinh nghiệm: 1 - 2 Năm

Yêu cầu giới tính: Chưa nhập

Chế độ bảo hiểm,Du Lịch,Chế độ thưởng,Chăm sóc sức khỏe,Đào tạo,Tăng lương,