Staff Data Engineer
1 week ago
**About GlobalFoundries**
**Introduction**
Globalfoundries Information Technology Team looking for a passionate individual with strong Manufacturing domain skills and strong Data Lake Cloud technology exposure to work closely with our FAB Engineering team to provide and roll-out Data Solution for Analytics.
**Your Job**
- Understand the Manufacturing and Engineering use-cases and translate the user requirements into a holistic a solution from data ingestion to Data Lake
- Change management including testing and liaison for TEST Floor Data.
- System robustness enhancement.
- User management including engagement, training, consultation and solutioning.
- System maintenance, robustness monitoring and enhancement.
- Customer and TEST Vendor management including issue escalation, follow up and enhancement.
- Managing the release roadmap including maintaining the requirements backlog, bug fixes and providing/verifying effort estimates on proposed solutions
- Application code and metadata deployment to Project instances - Dev, SIT, UAT & Prod
**Required Qualifications**:
- Degree / Master’s in Engineering, Computer Engineering or related discipline
- Fluency in English Language - written & verbal
- Extensive Experience in Shell Scripting, Java, Python
- Exposure to Eclipse or Similar Java Development Tools
- Experienced in GIT, SVN version control tools, API management will be an added advantage
- Strong Database & SQL knowledge
- Project implementation management including SDLC
- Knowledge in AWS Cloud Lake house architecture and AWS platform offering
- Experience as Design Lead Creating Design Docs, proposing and implementing Design solutions
- Good Experience in test management, test case definition, and test processes
- Proven experience with large, complex database projects in environments producing high-volume data
- Excellent conceptual abilities pared with good technical documentation skills, e.g. ability to understand and document complex data flows as part of production processes, infrastructure. Familiarity with SDLC concepts and process
- Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping)
- Hands on experience on Manufacturing or Semiconductor environment is required
- Working experience on AWS cloud products including Python, PySpark, Redshift, EMR, Airflow will add advantage
**Preferred Qualifications**
- Good Experience in the semiconductor industry
- Good Knowledge of statistical data analysis, data mining and machine learning (added advantages)
GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
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