Data Engineer
At a glance
Mid-level Data Engineering role at Foxconn Industrial Internet - FII. Houston · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Foxconn Industrial Internet - FII has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Cicada-based ETL pipelines that bring together data from manufacturing sources
- Process large datasets in both real-time and batch workflows across factories, business units and systems
- Work with data analysts to make factory data accessible, secure and efficient
- Create and maintain Tableau dashboards, then present them to users
- Assess user needs, system requirements and business processes to guide data work
What you bring
- At least three years in data engineering, including data warehousing and ETL pipeline development and upkeep
- Professional Mandarin fluency, including speaking and reading
- A bachelor’s degree in data engineering, data science, data management, information systems or a related area
- Strong SQL and Python skills, plus experience with ETL tools and real-time or batch processing on big-data platforms
- At least one year developing RESTful APIs, alongside experience with backend API integration
Who this fits
This mid-level role suits someone comfortable handling data pipelines and large-scale processing in a manufacturing setting. You’ll work with analysts and manage data spanning factories, business units and systems. Mandarin is required for professional work.
From the employer
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.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.