Data Engineer

Foxconn Industrial Internet - FII; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Foxconn Houston is hiring a dedicated data engineer to ensure scalable access to data across the manufacturing environment. You will build, maintain, and optimize ETL pipelines using Cicada and other Big Data tools, collaborating with data analysts to support cross-factory data needs.

The role requires strong SQL and Python, experience with Hadoop ecosystems, and experience deploying data solutions with CI/CD practices. Excellent communication and problem-solving skills are essential.

Qualifications

• 3+ years of experience in data engineering, including data warehousing, ETL design and optimization.
• Proficiency in SQL and Python.
• Experience with data warehouse modeling and API integration.
• Experience with Linux (CentOS/RedHat/Ubuntu).
• CI/CD automation experience.
• Experience with Hadoop ecosystem tools (Hadoop, Hive, Spark).
• Strong communication and collaboration skills.

Responsibilities

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

Skills

Mandarin (native)

Education

Bachelor's degree in Data Engineering/DS/IS

Tools

SQL

Python

Tableau

Hadoop

Kudu

Hive

Kafka

Spark

Flink

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.