Data Engineer (L4), Customer Engagement Technology

DescriptionDo you want to join an innovative team of engineers and scientists who use machine learning, NLP (Natural Language Processing) and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it.If you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team. We're specifically looking for a strong analytical thinker with excellent communication skills who can improve our team's infrastructure and build new analytical visualization tools for various purposes.You will participate in all phases of science projects, including big data understanding, designing and implementing product experiments, automating analytical metric mechanisms, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicate scientific approaches and findings, listen to and incorporate their feedback, and deliver successful solutions.Key job responsibilitiesAnalyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processesDesign structured, multi-source data/statistics solutions to deliver resultsEstablish scalable, efficient, automated processes for large scale data analyses, statistics and visualization solutionsPreprocess and analyze unstructured text data by NLP techniques to understand customer needs and product enhancementConduct A/B test experiments to support product dial-up decisionsA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About The TeamJoin our team of product leaders, scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.Basic Qualifications1+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)Experience with one or more scripting languages (e.g., Python, KornShell)Preferred QualificationsExperience with big data technologies such as: Hadoop, Hive, Spark, EMRExperience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage, etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Amazon Disability Accommodation .Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit

Amazon Employee Benefits .This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2773186

#J-18808-Ljbffr