Data Engineer Lead

The Group You’ll Be A Part Of

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

The Impact You’ll Make

Designs, develops, analyzes, troubleshoots and provides technical skills during research and/or product development.

What You’ll Do

Who We’re Looking For

• Minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
• Develop and manage data pipelines, ensure data quality, and implement data solutions in a hybrid work environment (Cloud/Onprem)
• Data Transform , Clean and integration
• Load transformed data from varied sources and in varied form, into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications
• Experience in Azure Data Engineering with expertise in SQL, Azure Data Factory, Databricks, Python/Java/Scala and PySpark
• Hands on experience with data processing framework like Apache Spark, Apache kafka etc
• Understand data ware house/Lakehouse and dimension modelling
• The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
  
  

Preferred Qualifications

• Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
  
  

Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.