ADCI
Business Intelligence, Data Engineering, Retail
BigDataEngineerL5
Neural analysis suggests this role is
optimal for Mid candidates.
“Big Data Engineer L5 at ADCI. Skills: Data Engineering, ETL, Data Warehousing. Analyze vendors. Analyze business financial performance metrics”
Industry & Context.
Solve real world problems; Solve hard problems
What They're Looking For.
Must Have
4+ years data engineering experience, Data modeling experience, Data warehousing experience, Building ETL pipelines experience
Nice to Have
AWS technologies experience, Non-relational databases experience
What You'll Do.
Analyze business financial performance metrics
Pave the future of Amazon Retail
Transform how we do business
Work with very large data sets
Full Job Description
Impact Ever wondered how Amazon offers the Earth's biggest selection and still manages to offer lower prices every day to our customers? Our retail business teams work with a massive array of vendors and business financial performance metrics to expand selection and drive costs lower. Given the rapid growth of our business, this requires our category leaders, financial analysts, site merchandisers and vendor managers to quickly analyze vendors, categories and brands, diving deep into data showing business efficiency down to the unit sale level. The technology that enables this has huge visibility and impact and is critical to Amazon's continued profitability and growth. Innovation We're working on the future. If you are seeking an environment where you can drive innovation. If you want to apply state-of-the-art software technologies to solve real world problems. If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity. The responsibilities of this role will be key in paving the future of Amazon Retail and transforming how we do business. Opportunity You will be part of a team of creative, top-notch software developers to work hard, have fun, and make history. Software engineers at Amazon are more than just order takers; they see a problem and leverage innovative technology to address it. You will be working with very large data sets, well beyond the scalability limits of conventional relational databases. We're looking for people who innovate, love solving hard problems, and never take "no" for an answer. Basic Qualifications: - 4+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores
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