Job Summary
We provide infrastructure and common platform technology to all services across the company, including Azar, Hakuna Live, Hyperconnect Enterprise, AI/ML, and Media, and are creating business impact in various areas through active collaboration with related departments.
- Minimum Qualification : Degree
- Experience Level : Senior level
- Experience Length : 5 years
Job Description/Requirements
Responsibilities:
- Data Ingestion automation pipeline system construction and management
- Data Lakehouse deployment management and automation
- Create and disseminate data platform usage guides
- Build and manage data catalog and lineage tracking system
- Data Infra Cost Optimization
- Support for ML organization and ML learning pipeline optimization work
- Define inefficient tasks that occur in the company-wide DataOps Lifecycle and perform automation tasks
- Research and PoC on various Data Infra Platform tools and systems constantly released in the market
Requirements:
- 5+ years of data engineering practical experience
- Anyone with a basic understanding of RDBMS and NoSQL
- A person who is able to skillfully implement what he/she wants to analyze using SQL
- A person who is proficient in using Python and, if necessary, has the development ability to build automation and in-house systems using API servers, etc.
- Experience using Tableau, Power BI, Looker, or similar BI tools
- Proficient in using Git/Git Actions
- Those who can implement reliable large-scale data pipelines using Databricks, Spark, etc.
- People who have experience handling various types of data logs and have experience with standard data log design and change management design
- A person who is proficient in Airflow (ETL) and has proactive troubleshooting experience
- Those who are capable of meeting and email communication based on English
- Anyone with experience using public cloud platforms such as AWS and Google Cloud
- Anyone who has experience managing data infrastructure through IaC tools such as Terraform
- You have the communication skills to collaborate with various stakeholders across the company and communicate complex engineering issues in an easy-to-understand manner.
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