Programmer/Analyst 4

The Group You’ll Be A Part Of

Global Information Systems - Enterprise Analytics and Engineering

The Impact You’ll Make

As a Programmer/Analyst at Lam, you hold a key role in creating scalable designs for enterprise programs, applications, and databases. With your expertise in analyzing existing programs and formulating logic for new systems, you are an asset to the team. Your coding, testing, and debugging efforts play a critical role in ensuring the efficient operations of the system. You will recommend changes in development, maintenance, enhancements, and system standing that can make a significant difference in Lam's operational success.

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 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.