Data Engineer I, AFT BI Content

Amazon.com, Inc.
Bellevue, WA, United States
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Databases Data Auditing Data Definition Language Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Data Warehousing Query Languages Apache Hive Python (Programming Language)
+11 more
Korn Shell MultiDimensional EXpressions Scala (Programming Language) PL-SQL SQL Databases Technical Data Management Systems Scripting Apache Spark Backend Data Lakes Data Pipelines

Job description

Experteer Overview In this role you will help build and optimize Amazon’s massive data warehouse ecosystem to accelerate delivery decisions. You’ll work within the AFT Data Engineering team to design scalable data pipelines, model data for enterprise analytics, and migrate workloads to a cloud-first architecture. You will collaborate with product owners and stakeholders to turn business questions into data products that drive efficiency and cost savings. This is a hands-on role that combines data engineering, data modeling, and modern AWS-based tooling to enable self-service analytics at scale. Compensation / Benefits * Build and maintain backend data infrastructure for analytical and visualization platforms * Translate business problems into technical data requirements with product management * Automate and optimize reporting to enable self-service analytics at scale * Develop measurement frameworks and metrics for performance and health * Ensure data quality via monitoring, validation, auditing, and documentation * Leverage AWS services and generative AI to create advanced data solutions Tasks * 2+ years of data engineering experience * Experience with data modeling, warehousing and ETL pipelines * Experience with one or more query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) * Experience with database, data warehouse or data lake solutions * Experience with one or more scripting languages (Python, KornShell) Key requirements * health insurance (medical, dental, vision) * RSUs and sign-on payments * 401(k) matching * paid time off * parental leave * EAP and mental health support

Requirements

data auditing, and documentation * Leverage AWS services and generative AI to create advanced data solutions Tasks * 2+ years of data engineering experience * Experience with data modeling, warehousing and ETL pipelines * Experience with one or more query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) * Experience with database, data warehouse or data lake solutions * Experience with one or more scripting languages (Python, KornShell) Key requirements * health insurance (medical, dental, vision) * RSUs and sign-on payments * 401(k) matching * paid time off * parental leave * EAP and mental health support

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