Data Engineer

Description AWS Marketplace and Partner Services (AMPS) is a fast growing org which supports a number of personas including but not limited to Sellers, Partners, Partner Development Managers and AWS Marketplace. AMPS team is driven by the mission to provide best partner experience worldwide and create a better future for our customers and communities through a culture of Customer obsession, innovation and a relentless pursuit of excellence. Data Engineering is a horizontal layer that supports all the foundational data needs for the organization. Description AWS Marketplace and Partner Services (AMPS) is a fast growing org which supports a number of personas including but not limited to Sellers, Partners, Partner Development Managers and AWS Marketplace. AMPS team is driven by the mission to provide best partner experience worldwide and create a better future for our customers and communities through a culture of Customer obsession, innovation and a relentless pursuit of excellence. Data Engineering is a horizontal layer that supports all the foundational data needs for the organization. As a Data Engineer on the AMPS team, you will work directly with Software Engineering, Business Intelligence, Data Science and Product teams to continuously improve and build our data infrastructure, data model, tools and data pipelines. Your work will directly influence and drive organizational insights, customer facing features and machine learning models. To be successful in this role, you should have strong database design skills, comfort with large data sets and an eagerness to invent. You should have a passion for data and analytics with the technical skills needed to build for scale and automation. Key job responsibilities Architecture design and implementation of next generation data pipelines and BI solutions Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc. Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers A day in the life Collaborate with Software Engineers, Product Managers, Data Scientists and Business Intelligence Engineers to design, plan and deliver on high priority data initiatives serving internal stakeholders and AWS customers. Build automated, fault tolerant and scalable data solutions leveraging state of the art technologies including but not limited to Spark, EMR, Python, Redshift, Glue and S3. Look around corners and be creative - Continuously evaluate and improve our strategy, architecture, tooling and codebase to maximize performance, scalability and availability. About The Team We are the Data Engineering team in AMPS, powering analytics for the AWS Marketplace Platform. Our data serves external Marketplace sellers and over 3,000 internal Finance, Sales, and Partner stakeholders. We are building a unified Canonical Data Model on Redshift and Data Lake, greenfield data engineering at scale: designing ETL frameworks, migrating billions of rows, and treating data quality and security as first-class concerns. We work across Redshift, Airflow, Glue, S3, and CDK, and we are early adopters of GenAI in our engineering workflow. Come own hard, ambiguous problems end to end. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications 5+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience 3+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience Preferred Qualifications Master's degree in statistics, business analytics, data analytics, data science #J-18808-Ljbffr