AWS Data Engineer

Job Title: AWS Data Engineer

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s 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 (End-to-End) architecture to deliver GF’s collaborative and centralized Design-to-Product (D2P) environment for customers that is cloud-enabled and fully leverages GF’s 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:

• Bachelor’s degree in computer science & engineering with at least 1-3 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 problem-solving 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 Semi-conductor 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: https://gf.com/about-us/careers/opportunities-asia