Amazon
Overview
Data Engineer I, AGI-DS Customer Analytics — Amazon. Data engineer will develop end-to-end analytics pipelines and build a world-class data platform, deploying scalable business intelligence tools for the AGI team. The candidate should demonstrate expertise in handling large-scale data operations and complex technical environments while maintaining strong business partnerships to drive strategic impact. They will manage the complete lifecycle from requirements gathering through implementation of interactive dashboards and reports, architect and implement large-scale data warehouse solutions utilizing SQL, distributed/MPP data storage, Hadoop ecosystem, and AWS services. The candidate will design robust ETL processes and data models to support business intelligence initiatives, while partnering with stakeholders to identify strategic opportunities where enhanced data infrastructure creates significant business value. They will develop and maintain scalable BI solutions and interactive dashboards for data-driven decision making, leveraging expertise in SQL, data modeling, ETL design, AWS services, Hadoop, and dashboard tools like QuickSight.
Key responsibilities
Design, implement, and support a platform providing ad hoc access to large datasets
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Oracle, Redshift, and OLAP technologies
Model data and metadata for ad hoc and pre-built reporting
Interface with business customers, gathering requirements and delivering complete reporting solutions
Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark
Build and deliver high quality datasets to support business analyst and customer reporting needs
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Participate in strategic and tactical planning discussions, including annual budget processes
About The Team AGI-DS holds a key position in the Generative intelligence space by being the provider of ground truth data for training the models that generate AI models.
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 ETL tools like Informatica, ODI, SSIS, BODI, Datastage, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company — Amazon.com Services LLC
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Data Engineer I, AGI-DS Customer Analytics — Amazon. Data engineer will develop end-to-end analytics pipelines and build a world-class data platform, deploying scalable business intelligence tools for the AGI team. The candidate should demonstrate expertise in handling large-scale data operations and complex technical environments while maintaining strong business partnerships to drive strategic impact. They will manage the complete lifecycle from requirements gathering through implementation of interactive dashboards and reports, architect and implement large-scale data warehouse solutions utilizing SQL, distributed/MPP data storage, Hadoop ecosystem, and AWS services. The candidate will design robust ETL processes and data models to support business intelligence initiatives, while partnering with stakeholders to identify strategic opportunities where enhanced data infrastructure creates significant business value. They will develop and maintain scalable BI solutions and interactive dashboards for data-driven decision making, leveraging expertise in SQL, data modeling, ETL design, AWS services, Hadoop, and dashboard tools like QuickSight.
Key responsibilities
Design, implement, and support a platform providing ad hoc access to large datasets
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Oracle, Redshift, and OLAP technologies
Model data and metadata for ad hoc and pre-built reporting
Interface with business customers, gathering requirements and delivering complete reporting solutions
Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark
Build and deliver high quality datasets to support business analyst and customer reporting needs
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Participate in strategic and tactical planning discussions, including annual budget processes
About The Team AGI-DS holds a key position in the Generative intelligence space by being the provider of ground truth data for training the models that generate AI models.
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 ETL tools like Informatica, ODI, SSIS, BODI, Datastage, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company — Amazon.com Services LLC
#J-18808-Ljbffr