Amazon Web Services
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Amazon Web Services. Skills: Data Engineering, ETL, Data Architecture. Develop and improve data architecture. Improve data quality”
Industry & Context.
Problem-solving situations
What They're Looking For.
Must Have
National of an EU member state, 3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in at least one modern scripting or programming language
Nice to Have
Experience with Apache Spark, Experience with Elastic Map Reduce, Experience with Redshift, Experience with S3, Experience with AWS Glue, Experience with EMR, Experience with Kinesis, Experience with Firehose, Experience with Lambda, Experience with IAM roles and permissions
What You'll Do.
Develop and improve data architecture
Improve data availability
Collaborate with Data Scientists
Implement advanced analytics algorithms
Perform statistical analysis
Perform machine learning
Partner with Data Scientists
Partner with Business Analysts
Improve reporting processes
Improve analysis processes
Simplify self-service support
Keep up to date with big data technologies
Design data architecture
How You'll Work.
Team & Collaboration
BI Engineers; Data Scientists; ML Scientists; Business Analysts; Product Managers; Stakeholders across organization
Full Job Description
Are you interested in taking your skills and career to the next level, while having fun and fighting fraud in the cloud? How would you like to be the driving force for developing the data and insights strategy for our global AWS Payments and Fraud team? You will be part of the Data Engineering that is central in shaping the definition and execution of the long-term data and insights strategy for AWS Payments and Fraud team. We are looking for an exceptional Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. The ideal candidate will possess both a data engineering background and a strong business acumen that enables them to think strategically. They will experience a wide range of problem-solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lockstep with BI Engineers, Data Scientists, ML Scientists, Business Analysts, Product Managers, and other stakeholders across organization. About AWS 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, a
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