Amazon

Systems, Quality, Security Engineering, Data Engineering, international stores

DataEngineer-1YearContract,ATEDataEngineeringTeam

$200–350k ~AI est. Beijing, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer-1 Year Contract, ATE Data Engineering Team at Amazon. Skills: Data engineering, ETL, Data modeling. Build data analytical solutions. Implement stable data flow solutions”

Industry & Context.

Systems, Quality, Security Engineering, Data Engineering, international stores

What They're Looking For.

Must Have

1+ years of data engineering experience, Experience with data modeling, Experience with building ETL pipelines, Experience with one or more query language, Experience with one or more scripting language

Nice to Have

Experience with big data technologies, Experience with any ETL tool

What You'll Do.

Build data analytical solutions

Implement stable data flow solutions

Operate stable data flow solutions

Develop solutions for data analytics

Create dashboards for customers

How You'll Work.

Team & Collaboration

Partner teams

Full Job Description

Amazon ATE (Analytics Technology and Engineering) team is seeking for a contractor Data Engineer of deep expertise in creation and management of datasets. The role is responsible to build data analytical solutions that will address increasingly complex business questions, as an expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports; working on developing solutions that provide some of the unique challenges of space, size and speed; implementing data analytics using cutting edge analytics patterns and technologies that are inclusive of but not limited to various AWS Offerings –Redshift, S3 and RDS.; working with partner teams to create dashboards for our customers. Basic Qualifications: - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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