The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives.

The Information Technology function is responsible for managing and overseeing the technology infrastructure that that supports the organization's operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; Key responsibility areas include infrastructure management, software and systems maintenance and development, data management and security, technical support, and strategic planning and innovation. The Data Management & Analytics area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality. The Data Engineering focus specializes in designing, building, and maintaining the infrastructure for data generation, storage, and access. Develops pipelines to ensure the efficient collection, transformation, and availability of data for analysis through integrating data from various sources, optimizing data architecture, and ensuring data integrity.

Completes own role independently or with minimal supervision.

A seasoned, experienced professional with a full understanding of area of specialization.

Resolves a wide range of issues in creative ways.

Works on problems of diverse scope where analysis of data requires





Networks with senior internal and external personnel in own area of expertise. Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

Typically requires a 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.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. Lam is committed to and reaffirms support of equal prospect 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.

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.

📌 Data Engineer (Lead) (Remote)
🏢 Lam Research
📍 Bengaluru