[L'oreal Korea] IT Data Engineer & Analyst - Corporate IT team


[JOB SUMMARY]

We are seeking a skilled and motivated Data Engineer to join our organization. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and structuring dataset in traditional database management system or cloud based data platform(eq. GCP, AWS, etc.), with a focus on understanding of data with designing data pipeline and extraction for the business utilization. 

If you are passionate about data engineering, have a strong technical background, and enjoy working with cutting-edge technologies, we would love to hear from you. Join our team and contribute to the success of our data-driven initiatives.

Please note that this is a sample job description and may need to be tailored to your specific organization's requirements and needs.


[MAIN RESPONSIBILITIES]

  • Develop and maintain data pipelines using available tools.
  • Design and optimize data structure for coping with business purpose.
  • Deliver proper queries and optimization for efficient data retrieval and analysis in any database.
  • Data validating and categorizing skill in proper structure for considering automation and utilization fitting business purpose.
  • Python or relevant coding for the efficient data collection from any type of sources with ensuring data quality and consistency.
  • Collaborate with cross-functional teams to understand data requirements and expected benefit to provide appropriate solutions which can meet business needs
  • Build BI reports to present data insights and facilitate data-driven decision-making


[ADVANTAGES]

  • Solid knowledge of data warehousing concepts and best practices.
  • Strong understanding of Google Cloud Platform, particularly Data Pipeline and BigQuery.


[QUALIFICATION & PREFERENCE]

  • University graduate
  • +2 years
  • Fluent in both Korean and English
  • Computer skill proficiency: Data engineering, python, and SQL
  • With cloud IT technology, data engineering and analytics role in Data project. 
  • Knowledge about data architecture and cloud architecture. Communication with negotiation skill is benefitable.
  • Understanding of database and capability of using structured query language fluently 
  • With proficiency in SQL, a candidate could build and optimize queries and schemas for data re-structuring
  • Designing data pipeline for establishing structured data set for analysis 
  • Ability to use Python or corresponding language for data collection and preparation
  • Ability building common BI Reports for business organizations with BI tools(eq. Power BI, QlikView, Tableau, etc.)
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Written and verbal communication skill with APAC and Global stakeholders



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