Data Engineer I
Data Engineer I
Posted on :
17-04-2025
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1 Vacancy
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Job Description
BASIC QUALIFICATIONS
2 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with one or more scripting language (e.g. Python KornShell)
Experience in Unix
Experience in Troubleshooting the issues related to Data and Infrastructure issues.
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.
Knowledge of distributed systems as it pertains to data storage and computing
Experience in building or administering reporting/analytics platforms
Key job responsibilities
Deep understanding of data analytical techniques and how to connect insights to the business and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Music Unlimited and Prime Music services and our top music provider spot on the Alexa platform providing high quality high availability data to our internal customers is critical to our customer experiences.
Assist the DISCO team with management of our existing environment that consists of Redshift and SQL based pipelines. The activities around these systems will be well defined via standard operation procedures (SOP) and typically involve approving data access requests subscribing or adding new data to the environment
SQL data pipeline management (creating or updating existing pipelines)
Perform maintenance tasks on the Redshift cluster.
Assist the team with the management of our nextgeneration AWS infrastructure. Tasks includes infrastructure monitoring via CloudWatch alarms infrastructure maintenance through code changes or enhancements and troubleshooting/root cause analysis infrastructure issues that arise and in some cases this resource may also be asked to submit code changes based on infrastructure issues that arise.
About the team
The Mesa team enables other Amazon businesses to move faster by providing tools and solutions to common problems with a notable focus on ensuring vendors and content providers are paid globally. If you are ready to be part of a global program and work hard to help many Amazon teams succeed in this mission this position is right for you. We offer a creative fast paced innovative work environment where youll be helping drive a key part of Amazons innovation on behalf of vendors and content providers across the Mesa team builds reusable software for a multitude of Amazon businesses including Kindle Amazon Video Amazon Music and more. Youll work directly with engineers product managers leadership customers and other stakeholders from these various businesses to address issues in our space that have some of the highest customer pain points.
1 years of data engineering experience
Experience with SQL
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.
2 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with one or more scripting language (e.g. Python KornShell)
Experience in Unix
Experience in Troubleshooting the issues related to Data and Infrastructure issues.
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.
Knowledge of distributed systems as it pertains to data storage and computing
Experience in building or administering reporting/analytics platforms
Key job responsibilities
Deep understanding of data analytical techniques and how to connect insights to the business and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Music Unlimited and Prime Music services and our top music provider spot on the Alexa platform providing high quality high availability data to our internal customers is critical to our customer experiences.
Assist the DISCO team with management of our existing environment that consists of Redshift and SQL based pipelines. The activities around these systems will be well defined via standard operation procedures (SOP) and typically involve approving data access requests subscribing or adding new data to the environment
SQL data pipeline management (creating or updating existing pipelines)
Perform maintenance tasks on the Redshift cluster.
Assist the team with the management of our nextgeneration AWS infrastructure. Tasks includes infrastructure monitoring via CloudWatch alarms infrastructure maintenance through code changes or enhancements and troubleshooting/root cause analysis infrastructure issues that arise and in some cases this resource may also be asked to submit code changes based on infrastructure issues that arise.
About the team
The Mesa team enables other Amazon businesses to move faster by providing tools and solutions to common problems with a notable focus on ensuring vendors and content providers are paid globally. If you are ready to be part of a global program and work hard to help many Amazon teams succeed in this mission this position is right for you. We offer a creative fast paced innovative work environment where youll be helping drive a key part of Amazons innovation on behalf of vendors and content providers across the Mesa team builds reusable software for a multitude of Amazon businesses including Kindle Amazon Video Amazon Music and more. Youll work directly with engineers product managers leadership customers and other stakeholders from these various businesses to address issues in our space that have some of the highest customer pain points.
1 years of data engineering experience
Experience with SQL
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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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