Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! We are looking for a senior data engineer who can design, build, and maintain scalable and reliable data pipelines and solutions using Databricks lakehouse platform and web data sources. You will work closely with our data scientists, analysts, and marketers to deliver data-driven insights and recommendations that drive our business growth and customer satisfaction.Responsibilities:Develop, test, and deploy data pipelines and ETL processes using Databricks, Spark, SQL, Python, and other toolsExtract, transform, and load web data from various sources such as Google Analytics, Google Ads, Facebook Ads, etc. using APIs, web scraping, or other methodsDesign and implement data models and schemas that support our analytical and reporting needsOptimize and monitor the performance, reliability, and quality of our data lakehouse architecture and solutionsTroubleshoot and resolve data issues and ensure data integrity and securityCollaborate with cross-functional teams to understand their data requirements and provide technical guidance and supportResearch and evaluate new technologies and best practices to improve our data engineering capabilitiesQualifications:Bachelor’s degree in Computer Science, Engineering, or related field7+ years of experience in data engineering or related rolesProficient in Databricks, Spark, SQL, Python, and other data engineering tools and frameworksExperience in working with web data sources such as Adobe Analytics, Google Analytics etc.Experience in designing and building data lakehouse architectures and solutions using cloud platforms such as AWS, Azure, or GCPExperience in applying data quality, governance, and security standards and practicesStrong analytical and problem-solving skillsExcellent communication and collaboration skillsOur compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $119,000 -- $232,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
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