Data Engineer

Foxconn Industrial Internet - FII; Houston (TX); On-site; USD 100,000 - 160,000; Full time

Job summary

Foxconn Houston is hiring dedicated data engineers to ensure data is accessible, secure, and efficient within a manufacturing setting. You will collaborate with data analysts to build data pipelines from diverse sources and optimize ETL workflows using Cicada and Apache-style tools.

The role focuses on processing real-time and batch Big Data across cross-factory environments, with responsibilities including dashboard creation in Tableau and data quality assurance.

Qualifications

• 3+ years of data engineering experience with data warehousing, ETL design, development and maintenance.
• Proficiency in ETL programming, debugging, maintenance, and monitoring for data ingestion and loading.
• Experience with data warehouse modeling and standardization.
• Experience with backend API integration.
• Experience with CI/CD processes.
• Experience with system performance tuning and monitoring.
• Proficiency in SQL and Python.
• Experience with Hadoop, Kudu, Hive, Kafka, Spark and/or Flink.
• RESTful APIs programming with at least 1 year of dev.
• Strong Linux (CentOS, RedHat, Ubuntu) knowledge.
• Excellent communication, organization, and interpersonal skills.
• Experience leading data development projects.
• Ability to manage multiple tasks independently and in teams.
• Desire to learn new things and drive process improvement.

Responsibilities

• Analyses user needs, system requirements and business processes.
• ETL manage data pipelines using Cicada.
• Processing real-time and batch Big Data.
• Design, create, maintain, update, manage and present Tableau Dashboards.

Job description

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.