Data Engineer (Pooling)

Position Summary

Disclaimer: Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of your current or previous employer.

Role and Responsibilities

• Development, test and maintenance of Big data architecture in AWS/GCP
• Development of monitoring tool of Analytics application using Java or Python
• Monitor, troubleshoot and resolve issues in the data pipeline
• Write large amounts of code, perform code reviews, write unit tests
• Create quick prototypes and proof-of-concepts applications
• Actively participate in an Agile team
• Research new approach, solutions, and architecture that can contribute to the project’s improvement and evolution
• Ideate, innovate, and implement improvements and automation of current systems and processes

Skills and Qualifications

• Hands-on experience working in data warehousing, data architecture and/or data engineering environments at an enterprise scale
• Experience in managing Big Data Services in  AWS  (or GCP)
• Experience implementing and working with workflow scheduler like   Airflow, Oozie 
• Python  (Pyspark) programming experience is necessary
• Experience writing complex SQL  (MySQL, Postgres, Hive, etc)  queries
• Experience in creating API services using Kubernetes is a plus
• Advance knowledge of code versioning tools such as Git
• Knowledgeable on web security and performance
• BS, MS in Computer Science/Engineering or equivalent experience
• Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
• Able to work independently on assigned research topic and share output by writing research papers, conducting lecture sessions and demos
• Can easily adapt to latest technologies and tools
• Willing to learn and solve highly challenging algorithm coding problems in Java/C++

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