Programmer/Analyst 4

The group you'll be a part of GBIS - 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 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 data principles,standards, strategies What you'll do Design advanced Analytics applications using Microsoft Fabric , Pyspark , SparkSQL , Power BI, Synapse, SQLWarehouses includingETL pipelines using Microsoft Azure PlatformLead, analyze, design, and deliver big data centric analytics solutions and applications including statistical datamodels, reports, and dashboards in Microsoft/Azure tech stackUse 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 ofExcellence across the companyWork 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 forData Engineering lead with 7+ years of experience in Databricks / Pyspark/Spark SqlMinimum of 8 years of related experience with a Bachelor's degree in computer science or equivalent; or 6years and a Master's degree; or a PhD with 3 years experience; or equivalent experience Preferred qualifications 7+ years of strong experience in Databrics / Pyspark7+ years of strong T-SQL experience5+ years of experience in Designing, building, and launching extremely efficient & reliable data pipelines formovement of data to and from disparate source systems2+ 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 andcustomersMust have strong experience in Data Warehouse ETL design and development, methodologies, tools, processesand best practicesExperience in working with Power BIExcellent query writing skill and communication skills preferredFamiliarity 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.