About The Position

Introduction As a Data Engineer at ASML, you will play a critical role in developing the data pipeline for the laser machine data and driving the technical details of the projects that would ultimately drive customer satisfaction. Your Assignment Develop data pipeline solutions to contribute towards feature and roadmap. Demonstrate systematic problem-solving to resolve problems and standardize solutions. Interact with cross-functional teams to contribute to system design changes and improving system performances. Work towards adoption of best industry practices in code health, testing, and maintainability. Contribute to automated continuous data integration pipeline to build, test, and release. Collaborate with business users on business requirements to meet the business goals. Collaborate with Data Architects and IT team members on Project Goals

Requirements

  • Must be pursuing a degree in Computer Science, Computer Engineering, Information System, or other related fields.
  • Knowledge or experience using Databricks, SQL Server or other Database Technology.
  • Familiar with Cloud Technologies (Azure)
  • Knowledge of programming languages (Python, Java, SQL)
  • Proven work as a data engineer or work on project of similar role
  • Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency and professionalism.
  • Ability to complete assignments with attention to detail and high degree of accuracy.
  • Proven ability to perform effectively in a demanding environment with changing workloads.
  • Result driven-demonstrate ownership and accountability.
  • Demonstrate open, clear, concise and professional communication.
  • Ability to establish and maintain cooperative working relationships with co-workers and customer.
  • Decompose complex problems and derive business requirements to propose feasible solution.
  • Ability to refactor code such that legacy and new systems can co-exists.
  • Great numerical and analytical skills
  • Demonstrate importance of documentation

Responsibilities

  • Develop data pipeline solutions to contribute towards feature and roadmap.
  • Demonstrate systematic problem-solving to resolve problems and standardize solutions.
  • Interact with cross-functional teams to contribute to system design changes and improving system performances.
  • Work towards adoption of best industry practices in code health, testing, and maintainability.
  • Contribute to automated continuous data integration pipeline to build, test, and release.
  • Collaborate with business users on business requirements to meet the business goals.
  • Collaborate with Data Architects and IT team members on Project Goals
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