Location

Ha Noi

  • Salary

    Competitive

  • Experience

    1 - 3 Years

  • Job level

    Experienced (Non - Manager)

  • Deadline to apply

    01/06/2021

Benefits

  • Insurance
  • Travel
  • Incentive bonus
  • Healthcare
  • Training Scheme
  • Salary review
  • Annual Leave

Job Description

  • 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.

Job Requirement

  • 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);
  • Take insurance right during the trial period
  • Receiving 100% of the salary probation if the job is passed in the first 2 months
  • Consider annual income changes

Work environment

  • Equipped with high-profile computers for work
  • Working in Grade A office area
  • Free use of diverse technology books available in the work area
  • Microwave ovens, refrigerators, coffee machines are always ready for all needs

Health care

  • Social insurance, health insurance, unemployment insurance under labor law
  • Annual health check-up at prestigious hospital

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

More Information

  • Degree: Bachelor
  • Age: Unlimited

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