Data Engineer

GlobalFoundries; Penang; On-site; MYR 40,000 - 80,000; Full time

Job summary

An established industry player is looking for a Data Engineer to join their innovative team. In this role, you will design and optimize data architectures, ensuring robust data management and analytics solutions. Collaborating with cross-functional teams, you'll enhance productivity and contribute to strategic projects using cutting-edge technologies. This position offers a dynamic work environment where your contributions will directly impact the company's data-driven initiatives. If you're passionate about data engineering and eager to grow in a collaborative setting, this opportunity is perfect for you.

Qualifications

• Experience as a Data Engineer on a cross-functional agile team.
• Expertise in ELT, SQL, and Spark for data management.
• Familiarity with cloud database technologies and data governance.

Responsibilities

• Design and maintain data architecture and pipelines adhering to ELT principles.
• Create data solutions to enhance productivity for data scientists.
• Lead evaluation and implementation of emerging data engineering tools.

Skills

SQL

Spark

Data Architecture

Creative Problem Solving

Communication Skills

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

AWS

Git

Jenkins

Docker

Kubernetes

BI Tools

Job description

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 Data Engineer, you will be reporting to the Lead Data Engineer and support problem-solving on any data platform and deliver robust recommendations to effectively store, secure, and manage data. You will assist the Lead Data Engineer in the development and adoption of cross-platform products/roadmap, recommend overall sizing of infrastructure for data and analytics platforms.

Your Job

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ELT (Extract, Load, Transform) principles and business goals.
• Create data solutions for data scientists and software engineers to accelerate their productivity.
• Lead the evaluation, implementation, and deployment of emerging tools and process for data engineering to improve productivity as a team and quality.
• Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency for data and analytical solutions.
• Advise, consult, mentor other data and analytic professionals on data standards and practices.
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
  
  

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
• Conceptual knowledge of data and analytics, such as dimensional modeling, reporting tools, data governance, and structured and unstructured data.
• Experience as a Data Engineer on a cross-functional agile team.
• Expertise in ELT, SQL and Spark.
• Experience with designing, transforming and maintaining data warehouses and/or data lakes
• Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space.
• Experience in building data pipelines and deploying/maintaining them with best-in-class software engineering practices (e.g., Git and Jenkins)
• Familiarity with the Linux operating system.
• 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.
  
  

Good to have

• Masters in computer science or a related field
• Exposure in machine learning, data science, artificial intelligence, statistics, and/or applied mathematics
• Basic familiarity with BI tools (e.g. Alteryx, Tableau, Power BI, Looker)
• Experience with containerization (e.g. Docker, Kubernetes)
• Understanding of data streaming solutions using technologies like Apache Kafka, Apache Flink, or Apache Spark Streaming
  
  

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