Lead Data Engineer

2 weeks ago

Singapore GLOBALFOUNDRIES Full time

About GlobalFoundries**
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 rootcause 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 rootcause 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 indepth 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
  • 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 crossfunctional 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 bestinclass 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 "failfast ", 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 usercentric.

Preferred Qualifications:

  • Masters in data science or a related field
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.

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