Job Title: AWS Data Engineer
About GlobalFoundries
GlobalFoundries is a leading fullservice semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds most inspired technology companies. With a global manufacturing footprint spanning three continents GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets.
Your Job:
This role is a part of the team that owns the E2E (EndtoEnd) architecture to deliver GFs collaborative and centralized DesigntoProduct (D2P) environment for customers that is cloudenabled and fully leverages GFs platform strategy and technologies.
Key Responsibilities:
- Design Migrate build and maintain data pipelines for performance scalability and reliability
- Develop and maintain data models and schemas
- Integrate data from diverse sources.
- Ensure data quality and implement data governance policies.
- Able to create reports using PowerBI.
- Collaborate with data analysts product owners and other stakeholders for the Data requirements and support the releases.
Minimum Skills & Qualifications:
- Bachelors degree in computer science & engineering with at least 13 years of working experience.
- Strong proficiency in SQL: Ability to write complex queries perform data manipulation and understand database concepts (both relational and potentially NoSQL).
- Proficiency in at least one programming language relevant to data engineering (e.g. Python Java): Python is preferable.
- Understanding of data modeling concepts: Including relational modeling dimensional modeling and schema design.
- Familiarity with ETL/ELT processes and tools: Knowledge of data integration and transformation techniques.
- Basic understanding of database systems (AWS Aurora DB Dynamo DB and RDS) with data warehousing principles(Preferably AWS Redshift):
- Basic understanding of cloud computing concepts: Familiarity with at least one major cloud platform (AWS or Azure) is often a plus.
- Strong problemsolving and critical thinking abilities
- Excellent communication and collaboration skills
- Understanding of the agile development methodology
Preferred Skills and Qualifications:
- Experience with AWS cloud platform and their data engineering services: AWS (Redshift Aurora Dynamo RDS).
- Proficiency at Python programming relevant to data engineering concepts.
- Familiarity with data governance and data quality frameworks and tools.
- Experience in setting up and managing CI/CD pipelines using tools such as Jenkins or similar
- Knowledge/working with Semiconductor domain (Foundry) is an added plus.
- Experience with data visualization with Power BI.
- Experience with Agile development methodologies.
- Good to have any relevant certifications (e.g. AWS Certified Data Engineer)
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.
All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks medical screenings as applicable and subject to the respective local laws and regulations.
Information about our benefits you can find here:
Employment Type
Full-Time
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