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At a glance
Build and maintain cloud data platforms; data engineering experience
What you will do
- Develop data pipelines using AWS, DBT, Python, Spark
- Implement and manage Lakehouse with Apache Iceberg
- Orchestrate workflows with Apache Airflow
What they ask for
- Proficient in Python, SQL, AWS, Spark, dbt
- Experience with Airflow, Redshift, data modeling
- Bachelor's degree in CS, Engineering, or related field
Nice to have
- Knowledge of Apache Iceberg and Lakehouse concepts
- Experience with GitHub and CI/CD
- Strong analytical and problem-solving skills
Summarised by Banseog from the company's official posting. The official posting is the reference for conditions and details.
What the posting states
Only what the company's official posting says, in its own words.
- Education
- Bachelor'sMentioned
BACHELOR:Computer Science, Engineering, IT, or a related field
- Level
- SeniorMentioned
Senior, Data & Analytics Application Engineer
- Benefits
- MentionedMentioned
It’s more than just pay and benefits—it’s a meaningful investment in you.
Not stated in the posting: Experience · Work mode · Pay · Visa sponsorship · Language. Not stated does not mean not offered. Check the official posting.
Skills in the posting
Field & Integration roles: the market now
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