Data Engineer (DA)

Collaborate with cross- functional teams to analyze business requirements and translate them into data solutions.
Design and implement data modeling and storage strategies in MySQL, Oracle, and PostgreSQL.
Integrate and monitor data workflows via SNS, CloudWatch, and Datadog.
Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Iceberg, and DynamoDB.
Design, develop, and manage scalable data pipelines and ETL processes using AWS Glue, Lambda, and MWAA (Apache Airflow on AWS).
Architect and implement big data platforms with focus on performance, scalability, and maintainability.
Support ongoing operations and resolve data issues involving application- layer and cloud infrastructure.

[Required]

3+ years of experience in data engineering or big data architecture roles.
Strong hands- on expertise in AWS data services:
Experience with MySQL, Oracle, PostgreSQL.
Familiarity with Apache Iceberg or similar data lake table formats.
Glue, Lambda, Redshift, S3, DynamoDB, SNS, MWAA, CloudWatch
Proficiency in monitoring/logging tools such as Datadog.
Deep understanding of data lake / data warehouse architecture and data modeling.

[Nice to have]

Familiarity with Digital Marketing, AdTech, or Customer Data Platforms.
Proven experience in cloud and resource optimization (cost, performance, scalability).
Experience in Big Data architecture analysis and design.
Ability to solve complex, multi- layered issues involving both application logic and cloud infrastructure.

English, Korean, technical, soft skills training courses.
Opportunity to learn special courses from LG CNS, new technology and security.
Gifts on holidays (April 30th- May 1st, September 2nd, Tet, etc.)
Working hours: 8 hours from Monday- Friday (8 hours/day)
Health care: Premium health insurance, Annual health check- up
Attractive salary and bonus will be discussed after going through CV & Interview
Good career development opportunities with interesting and challenging projects.
Outdoor activities with company support: sports clubs, team building, happy hour parties, birthdays, travel, employee and family events, etc.
Young working environment
Review capacity annually and adjust salary increases according to work performance.

Cập nhật gần nhất lúc: 2026-02-26 00:50:03