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Data Engineer
Foxconn Industrial Internet - FII
- Houston, Texas, United States
- Houston, Texas, United States
About
Responsibilities
10%, Analyzes user needs, system requirements and business processes.
40%, ETL/ manage data pipelines using Cicada.
40%, Processing real-time and batch Big Data.
10%, Design, create, maintain, update, manage and present Tableau Dashboards.
Skills/Qualifications
Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting.
3+ years of experience in data engineering, such as data warehousing and ETL pipeline design, development, and maintenance and optimization.
Proficiency in ETL tool programing, debugging, maintenance, and monitoring to ensure data ingestion, cleansing, and loading.
Experience with data warehouse modeling and standardization.
Experience with backend API integration.
Experience with system automated code CI/CD.
Experience with system performance tuning and monitoring.
Proficiency in SQL and Python.
Proficiency in Hadoop, Kudu, Hive, Kafka, Spark and/or Flink.
Proficiency in real-time and batch data processing on Big Data platforms
Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher.
RESTful API’s programming, at least 1 year of development experience.
Advanced knowledge and experience with Linux (CentOS, RedHat, Ubuntu).
Excellent communication, organization, and interpersonal skills.
Experience leading data development projects.
Excellent problem-solving skills with extreme attention to detail.
Outstanding work ethic and commitment to individual and organizational success.
Excellent analytical and advanced troubleshooting skills with end-users/clients.
Ability to manage multiple tasks and projects, both independently and as part of a team.
Demonstrated ability to learn new things and continuously drive process improvement.
Plus/Desired
Familiar with electronics manufacturing industry domain know-how.
Experience with Git Repositories (GITLAB) or JIRA.
Experience with HTML5, CSS3, JavaScript and use front-end code debugging tools such as Chrome.
Proficiency in Tableau or other data visualization tools.
Educational Requirements
Bachelor’s degree in Data Engineering, Data Science, Data Management, Information Systems or related fields.
Any software programming certifications are a plus.
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Languages
- English
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