Data Engineer, AWS Fintech
Share
Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Department:
Job Summary
As a Data Engineer you will be working on building and maintaining complex data pipelines assemble large and complex datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data.
Data Engineers help us design manage and continuously enhance our Analytics needs. You will develop and deliver analytics applications including metrics generation metrics correlation modeling and many other use cases to help improve process effectiveness customer experience and automation. As a DE you will deal with technical aspects of data warehousing (Redshift Spectrum EMR ETL) infrastructure and build data pipelines tools and reports that enable program managers analysts BIEs solution architects and executives to design and deliver bench marking services for Amazons business units. We want to you to feel welcomed included and valued right from the start. We know that your experiences will help us build a better world
Key job responsibilities
Design data schema and operate internal data warehouses and SQL/NOSQL database systems.
Design data models implement automate optimization and monitor data pipelines
Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions
Analyze and solve problems at their root stepping back to understand the broader context
Manage Redshift/Spectrum/EMR infrastructure and drive architectural plans and implementation for future data storage reporting and analytic solutions
Work on different AWS technologies such as S3 Redshift Lambda Glue etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Work on data lake platform and different components in the data lake such as Hadoop Amazon S3 etc.
Work on SQL technologies on Hadoop such as Spark. Hive Impala etc.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
Must possess verbal and written communication skills be self-driven and deliver high quality results in a fast-paced environment.
Conduct rapid prototyping and proof of concepts
Conceptualize and develop automation tools for bench marking data collection and analytics
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
A day in the life
0
- 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)
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Data Engineers help us design manage and continuously enhance our Analytics needs. You will develop and deliver analytics applications including metrics generation metrics correlation modeling and many other use cases to help improve process effectiveness customer experience and automation. As a DE you will deal with technical aspects of data warehousing (Redshift Spectrum EMR ETL) infrastructure and build data pipelines tools and reports that enable program managers analysts BIEs solution architects and executives to design and deliver bench marking services for Amazons business units. We want to you to feel welcomed included and valued right from the start. We know that your experiences will help us build a better world
Key job responsibilities
Design data schema and operate internal data warehouses and SQL/NOSQL database systems.
Design data models implement automate optimization and monitor data pipelines
Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions
Analyze and solve problems at their root stepping back to understand the broader context
Manage Redshift/Spectrum/EMR infrastructure and drive architectural plans and implementation for future data storage reporting and analytic solutions
Work on different AWS technologies such as S3 Redshift Lambda Glue etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Work on data lake platform and different components in the data lake such as Hadoop Amazon S3 etc.
Work on SQL technologies on Hadoop such as Spark. Hive Impala etc.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
Must possess verbal and written communication skills be self-driven and deliver high quality results in a fast-paced environment.
Conduct rapid prototyping and proof of concepts
Conceptualize and develop automation tools for bench marking data collection and analytics
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
A day in the life
0
- 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)
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
