Data Engineer
About this role
Job Summary:
Foxconn Houston has several Lighthouse Factory plants manufacturing servers and server cabinets. The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of sources within the manufacturing factory setting. The data engineer will create, maintain, and optimize ETL pipelines using Apache or other Big Data tools and Cicada, an internal ETL tool. This role will manage big data that are cross-factory, cross-business-units and cross-systems.
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.
Company at a glance
Foxconn Industrial Internet USA (Fii USA) is a global leading professional design and manufacturing service provider of communication network equipment, cloud service equipment, precision tools, and industrial robots. Our goal is to provide our customers with intelligent manufacturing services for new forms of electronic equipment products centered on the industrial internet platform.
Our Vision: Fii USA is creating technology solutions in 5G, IoT, and Industrial AI to aid businesses in transforming to the Industry 4.0 environment.
Our Philosophy: Fii USA will leverage its’ 30 years’ experience in contract manufacturing to develop technology solutions that will guide businesses on their Industry 4.0 journey. We are building industrial IoT ecosystems grounded solutions that utilize 5G communication technology, 8K imaging data, Industrial AI, and high-performance computing. Our solutions are easily implemented, modified, and scaled to enable participation in the modern connected landscape.
Tired of cold applications?
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Know someone who'd be great for this?