Amazon
Data Engineer, Davengers(Data Avengers)
Amazon, Seattle, Washington, us, 98127
This is a 12 Month Contract opportunity.As a data engineer, are you looking for an opportunity to be among software developers and machine learning scientists to build a data platform that caters to BI and reporting and extends to machine learning applications?As a data engineer in AEE, you will:Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications.Manage AWS resources including EC2, Redshift, EMR-Spark, etc.Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.BASIC QUALIFICATIONS
1+ years of data engineering experience.Experience with SQL.Experience with data modeling, warehousing, and building ETL pipelines.Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).Experience with one or more scripting languages (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.Posted:
September 20, 2024Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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1+ years of data engineering experience.Experience with SQL.Experience with data modeling, warehousing, and building ETL pipelines.Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).Experience with one or more scripting languages (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.Posted:
September 20, 2024Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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