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. For more information, visit  www.gf.com .

Introduction :

As a Lead Data Engineer , you will be reporting to Analytics Center of Excellence ( CoE ) Manager and leading problem-solving teams on any database platform and deliver robust recommendations to effectively store, secure, and manage data. You will lead the team in the development and adoption of cross-platform products/roadmap , recommend overall sizing of in frastructure for data and analy tics platforms.

Your Job :

• De monstrates functional knowledge of advanced database features and concepts ( e.g. performance tuning) and uses them effectively.

• Independently delivers data products leveraging ETL (Extract, Transform, Load) concepts.

• Independently engages with team on infrastructure needs and has thoughtful recommendations for common data problems (e.g., low memory)

• Perform overall root-cause analysis in case of programming errors and recommend solution.

• Ensure data engineering codebase is well structured, documented and optimized as part of an efficient data pipeline.

• Sets and enforces pod guidelines for best coding practices early in use case development and leads regular effective code review process across data engineering team.

• Performs overall root-cause analysis in case of programming errors and recommends solutions.

• Develop the domain -specific data requirements and exploratory analyses.

• Helps shape data quality delivery and guides colleagues in proper data analysis and clean up.

• Guides data engineers in data quality as sessment and exploratory analysis

• Understands in-depth the data platform and other relevant data applications and platforms and how they are built and can be leveraged .

• Understands in-depth data/IT architecture, security , governance, and data ecosystem.

• Independently architects’ solutions on cloud platform for workstreams.

• Build physical data models for workstream, with little or guidance and explore data ecosystem creation.

• Leverage data architecture patterns to accelerate work .

  Other Responsibilities: 

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

  Required Qualifications :

• Bachelor’s degree in computer science, statistics, engineering, or a related field

• A minimum of 10 years of experience in data science, machine learning, or related roles, with a focus on digital manufacturing or industrial applications.

• Expertise in ELT and data analysis, SQL and at least one programming language ( e.g., Pyspark , Python )

• Conceptual knowledge of data and analytics, such as dimensional modeling, reporting tools, data governance, and structured and unstructured data .

• Strong understanding on agile methodologies and experience as a Data Engineer on a cross-functional agile team preferred.

• Experience with designing and maintaining data warehouses and/or data lakers with big data Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases.

• Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space.

• Experience with containerization and managing pipelines and microservices ( e.g. Docker, K ubernetes)

• Experience in building data pipelines and deploying/ maintaining them with a best-in-class tools (e.g., Git and Jen kins)

• Exposure in machine learning, data science, artificial intelligence, statistics, and/or applied mathematics

• Familiarity with the Linux operating system.

• Basic familiarity with BI tools ( e.g Alteryx, Tableau, Power BI, Looker)

• Experience working in data engineering or data architecture role .

• Focuses on agile delivery with a “fail-fast ”, succeed early “mindset and measurable outcomes.

• Strong communication skills with ability to articulate the value of a design choice to users and stakeholders.

• Creative problem solving and analytical skills with ability to synthesize ideas into tangible solutions for design.

• Sees value in taking an iterative design approach, has a strong sense of ownership and proactively advocates for the end user.

• Highly detail oriented.

• A team player and user-centric .

• Preferred Qualifications:

• Masters in data science or a related field

  #Digimfg_SGP

  G lobal F oundries 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.

  To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in Singapore will have to be fully vaccinated prior to their targeted start date. For new hires, the appointment is contingent upon the provision of a copy of their COVID-19 vaccination document, subject to any written request for medical or religious accommodation .

  Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

  Changing the world from the inside out

Join the team that’s moving the world forward.

What makes GlobalFoundries different? Our advanced operational and technology capabilities are made available through a global manufacturing network, anchored by facilities in Singapore, Dresden (Germany), Burlington (Vermont) as well as East Fishkill and Malta (New York).

At GF, we make things that matter — from the solutions that enable the way we live today, to the technologies that drive what’s possible for tomorrow.

Our people bring this power to life. A diverse and global team representing the best in the industry, we are united by our dedication to excellence and our desire to improve and empower the world.