Data Engineer, Lead

Develops pipelines to ensure the efficient collection, transformation, and availability of data for analysis through integrating data from various sources, optimizing data architecture, and ensuring data integrity. 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 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 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 Excellent query writing skill and communication skills preferred Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve theirfull potential. By bringing unique individuals and viewpoints together, we achieve extraordinaryresults. Lam is committed toand reaffirms support of equal opportunity in employment and non-discrimination in employmentpolicies, 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, genderexpression, age, sexual orientation, or military and veteran status or any other category protectedby applicable federal, state, or local laws. It is the Company's intention to comply with all applicablelaws and regulations. Company policy prohibits unlawful discrimination against applicants oremployees. Lam offers a variety of work location models based on the needs of each role. Our hybrid rolescombine the benefits of on-site collaboration with colleagues and the flexibility to work remotely andfall into two categories - On-site Flex and Virtual Flex. ‘On-site Flex' you'll work 3+ days per weekon-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balanceof the week. ‘Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplierlocation, and remotely the rest of the time.