Services LLC

Data Engineer, Amazon Marketing Cloud - Applicatio...

Job description

  • 3+ years of experience as a Data Engineer or in a similar role
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience in SQL

Job summary Do you want to solve multi-billion dollar business challenges by building innovative technology leveraging Amazon Ads and Amazon Web Services infrastructure? Does the idea of contributing to the development of a cutting-edge, massively scalable AdTech platform poised to redefine an industry excite you? Do you enjoy a fast-paced, collaborative and supportive team environment that is obsessed with customers? If so, the Amazon Marketing Cloud - Ads + AWS Applications team may be a great fit for you. This role will be responsible for owning data components of our system end to end while also contributing individual code across our infrastructure, with a focus data pipelines, ETL, Data Models The problems the AMC-A team are tackling are big, audacious and impact millions of customers, sellers, and countless products across the globe. Our path is not always easy so we are selective about who joins us on this journey – we’re looking for someone excited by the idea of creating new platforms and features from scratch in Native AWS while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years. If this is you, come build the future with us. Key job responsibilities This role will completely own the Ingestion data pipeline that extracts billions of records from various advertising and non-advertising source systems and makes them available for our Data Management system. You will work closely with Senior Engineers on the team to build new applications for advertisers. As the owner of the pipeline you'll have freedom to prioritize and chose the right technologies to meet our vision and to support 10x growth requirement over the next two years. A day in the life Every day on the AMC Applications team can be different, depending on the needs of our customers, active projects and personal interests. Since the team is focusing on building both a platform and a series of applications that will exist on that platform, work can and will change with frequency, but a focus will be placed on making sure team members interests and skills are positively aligned with the projects they are assigned to. Typically though, a day in the life of an AMC Data Engineer will consist of dedicated building time, a brief daily standup with the team to discuss wins, progress and roadblocks, and design/architecture meetings with our Technical Product Manager, Principal Engineer and SDEIIIs. Other semi-frequent, but not necessarily daily, activities would include customer meetings to understand user feedback, mentoring and coaching sessions with more junior colleagues, weekly team meetings and participating in organizational demos, discussion forums and activities. About the team The AMC Applications team will be a great fit for you if you’re looking for a space that is as technical as it is uncharted - our infrastructure needs to be built from the ground up and we need help not only dreaming it but also making it a reality. Our short-term focus is in identifying and building native AWS infrastructure and applications to make advertiser’s lives easier - from the CMO to the day to day practitioner. This means that not only will there be opportunity to dive deep into technical matters, zoom out to participate in design decisions and overall strategy, but also ample choice in variety; as soon as we ship one application we’ll be moving on to another to solve problems for a different persona. Want to dabble in AI Vision? No problem. Enjoy Natural Language Processing? We can do that. Maximizing customer delight will be our main guiding principle and so meeting with customers early and often to ensure all solutions solve the right problems, in the right way, is a core expectation for each member of AMC Applications.
Experience working with and tuning AWS big data technologies (EMR, Spark/Hive, S3). Experience working with SQL based systems and building data pipelines. Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations 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 Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.

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