Senior Data Engineer, Measurement, Ad Tech, and Data Science

hace 2 semanas


España Amazon A tiempo completo

Senior Data Engineer, Measurement, Ad Tech, and Data Science (MADS)Job ID: 2777826 | Amazon.com Services LLCAdvertising Amazon Marketing Cloud (AMC) teams build Advanced Analytics Systems that are secure, privacy-safe, and dedicated cloud-based environments in which advertisers can easily perform analytics across multiple, pseudonymized data sets to generate aggregated reports. Inputs can include an advertiser’s own data sets, as well as their Amazon Advertising campaign events, such as impressions, clicks, and conversions. The services you will work on are directly used by our customers and operate at Big Data scale, ingesting and processing billions of behavioral signals every day. Speed, scale, and accuracy are critical to our success.The successful candidate will be a self-starter, comfortable with ambiguity and able to create and maintain efficient, automated, end-to-end data solutions and services. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data solutions to answer key business questions. They will build efficient, flexible, extensible, and scalable data models, ETL designs, and data integration services. They will also be required to support and manage the growth of these data solutions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.Key ResponsibilitiesDevelop data products, infrastructure, and Big Data solutions and services leveraging Native AWS services (such as Redshift, Kinesis, EMR, Lambda, etc.)Develop new data models and end-to-end data pipelines.Collaborate with a team of other Data Engineers and Software Development Engineers on data delivery best practices.Contribute to infrastructure planning and operational excellence continued improvements.Lead and participate in engineering design reviews for solutions.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing, and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practicesPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehousesPosted: November 19, 2024 (Updated 10 days ago)Posted: August 24, 2024 (Updated 3 months ago)
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