Data Engineer Lead

Global Information Systems - Enterprise Analytics and Engineering

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

• Design advanced Analytics applications using Microsoft Fabric , Pyspark , SparkSQL , Power BI, Synapse, SQL Warehouses 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 capabilities
  

• 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.

• 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
  

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 Companys 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.