Programmer/Analyst 4

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 Data Engineering lead with 7+ years of experience in Databricks / Pyspark/Spark Sql 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 5+ years of experience in Designing, building, and launching extremely efficient & reliable data pipelines for movement of data to and from disparate source systems 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 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.