Data Engineer, Lead

The group you’ll be a part of

As a lead Data Engineer in Enterprise Analytics group at Lam Research you will be responsible for designing andleading the data architecture and integration for multiple projects You will be writing the specs and designing thesolutions and coordinate with the development team to support the business needs and collaborate with dataarchitecture, business, and development teams. You will also guide application and business development teamsin the analytics design of complex solutions and ensure that they are in alignment with the COE data principles,standards, strategies

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

*Design advanced Analytics applications using Microsoft Fabric , Pyspark , SparkSQL , Power BI, Synapse, SQLWarehouses including
ETL pipelines using Microsoft Azure Platform
*Lead, analyze, design, and deliver big data centric analytics solutions and applications including statistical data
models, reports, and dashboards in Microsoft/Azure tech stack
*Use leadership abilities to drive cross functional development on new solutions from design through delivery.
*Define, maintain, and promote the advanced analytics standards and processes as part of GIS Center of
*Excellence across the company
*Work with key stakeholders in product management and leadership to define strategy and requirements.
*Work with US teams to deliver supporting software and services in sync with launch timelines.
*Offer insight, guidance, and direction on the usage of emerging data analytics trends and technical capabi

Who we’re looking for

*Data Engineering lead with 7+ years of experience in Databricks / Pyspark
*Minimum of 8 years of related experience with a Bachelor’s degree in computer science or equivalent; or 6
years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.

Preferred qualifications

*7+ years of strong experience in Databrics / Pyspark
*7+ years of strong T-SQL experience
*5+ years of experience in Designing, building, and launching extremely efficient & reliable data pipelines for
movement of data to and from disparate source systems
*2+ years of experience in working with Microsoft Azure and strong knowledge about ADLS, ADF, Data Bricks,
SQL WH etc.
*4+ years of building and launching new data models that provide intuitive analytics for the analysts and
customers
*Must have strong experience in Data Warehouse ETL design and development, methodologies, tools, processes
and best practices
*Experience in working with Power BI
*Excellent query writing skill and communication skills preferred
*Familiarity with common API’s: REST, SOAP preferred

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve theirfull potential. By bringing unique individuals and viewpoints together, we achieve extraordinaryresults.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed toand reaffirms support of equal opportunity in employment and non-discrimination in employmentpolicies, 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, genderexpression, age, sexual orientation, or military and veteran status or any other category protectedby applicable federal, state, or local laws. It is the Company's intention to comply with all applicablelaws and regulations. Company policy prohibits unlawful discrimination against applicants oremployees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid rolescombine the benefits of on-site collaboration with colleagues and the flexibility to work remotely andfall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per weekon-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balanceof the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplierlocation, and remotely the rest of the time.