Requisition ID191377 Date posted11 21 2025 Work Location ModelVirtual Flex Work LocationBangalore-IN-Bangalore Work CountryIndiaThe 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 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 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 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 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 chance 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

📌 Programmer/analyst 4 (Karnataka)
🏢 Lam Research
📍 Karnataka