Apply now »

In your career, let’s prove what’s possible.

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Data Engineer Lead

Date:  Mar 13, 2025
Location: 

Bangalore, IN-Bangalore, IN

Req ID:  187123
Worker Category:  Virtual Flex

The Group You’ll Be A Part Of

Global Information Systems - Enterprise Analytics and Engineering

 

 

The Impact You’ll Make

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 

What You’ll Do

  • 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 

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 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.


Job Segment: Computer Science, Data Warehouse, Information Systems, Database, Technology, Research

Apply now »