Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc liên quan phía dưới
Mô tả công việc
Design, develop, and manage scalable data pipelines and ETL processes using AWS Glue, Lambda, and MWAA (Apache Airflow on AWS).
Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Iceberg, and DynamoDB.
Integrate and monitor data workflows via SNS, CloudWatch, and Datadog.
Design and implement data modeling and storage strategies in MySQL, Oracle, and PostgreSQL.
Architect and implement big data platforms with focus on performance, scalability, and maintainability.
Collaborate with cross-functional teams to analyze business requirements and translate them into data solutions.
Support ongoing operations and resolve data issues involving application-layer and cloud infrastructure.
Yêu cầu
3+ years of experience in data engineering or big data architecture roles.
Strong hands-on expertise in AWS data services:
Glue, Lambda, Redshift, S3, DynamoDB, SNS, MWAA, CloudWatch
Deep understanding of data lake / data warehouse architecture and data modeling.
Experience with MySQL, Oracle, PostgreSQL.
Familiarity with Apache Iceberg or similar data lake table formats.
Proficiency in monitoring/logging tools such as Datadog.
Nice to have
Experience in Big Data architecture analysis and design.
Proven experience in cloud and resource optimization (cost, performance, scalability).
Ability to solve complex, multi-layered issues involving both application logic and cloud infrastructure.
Familiarity with
Digital Marketing, AdTech, or Customer Data Platforms.
Quyền lợi
Attractive salary and bonus will be discussed after going through CV & Interview
Review capacity annually and adjust salary increases according to work performance.
Health care: Premium health insurance, Annual health check-up
Young working environment
Good career development opportunities with interesting and challenging projects.
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.)
Outdoor activities with company support: sports clubs, team building, happy hour parties, birthdays, travel, employee and family events, etc.
Working hours: 8 hours from Monday - Friday (8 hours/day)
Thông tin chung
- Ngày hết hạn: [protected info]
- Thu nhập: Thỏa thuận
