Data Engineer, Lead

LAM RESEARCH Corporation; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Lam Research Bengaluru seeks a seasoned IT professional to contribute to global information systems. You will work within the Data Management & Analytics area, supporting database design, BI, and data architecture across the enterprise.

The role emphasizes independent problem solving, collaboration with senior colleagues, and contributing to infrastructure, software maintenance, and security. Lam offers flexible on-site and virtual work options.

Qualifications

• Minimum 5 years of related experience with a Bachelor's degree.
• 3 years of experience with a Master's degree; or a PhD with no experience; or equivalent work experience.
• Strong analytical and problem-solving skills.

Responsibilities

• Participate in data management and analytics initiatives across the organization.
• Support infrastructure maintenance and security of information systems.
• Collaborate with teams to design, build, and maintain data pipelines.
• Contribute to strategic IT planning and innovation.

Education

Bachelor's degree

Master's degree

PhD

Job description

The group you'll be a part of

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 impact you'll make

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; ensuring that these systems are secure, efficient, and capable of supporting business objectives. 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.

What you'll do

• This is a career level, and it is at this stage that a professional stabilizes and may remain at this level for many years.
• 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.
• This job is the fully qualified, career oriented, journey-level position.
• Works on problems of diverse scope where analysis of data requires.
• Evaluation of identifiable factors.
• Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
• 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.
• Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
• Normally receives little instruction on day-to-day work, general instructions on new assignments.
• Operates independently, recognizing when consultation is required.
• Working under general direction from manager, defines own objectives.

Who we're looking for

Typical 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.

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.