Data Engineer, Global Procurement Technology
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Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Amazons Global Procurement Organization manages indirect supply chain for World Wide Operations and Delivery Services. We work with massive amounts of data and leverage them for advanced applications.
We are Data Engineers to build the facilities to help enable the Global Procurement Organization to gain deep insights into all facets of indirectly supply management and apply advanced data science for automation and decision making.
You are someone who is customer focused relentless and driven to help us build out a brand-new initiative. You will collaborate closely with product managers developers and leaders across the org. To be successful in this role you should have broad skills in database design be comfortable dealing with large and complex data sets modeling and designing a strong data warehouse and building self-service data platforms for stakeholders to utilize the data we manage.
Key job responsibilities
* Build and maintain scalable ETL/ELT data pipelines that ingest transform and serve procurement data across multiple systems
* Support existing data infrastructure including quality monitoring alerting and SLA tracking for critical business data feeds
* Implement data models and table schemas following established patterns across our data warehouse (Amazon Redshift / AWS Glue catalog)
* Work with business stakeholders and analysts to understand data requirements and deliver reliable well-documented data products
* Contribute to data quality frameworks write validation logic data contracts and anomaly detection jobs
* Participate in on-call rotations and troubleshoot pipeline failures affecting downstream procurement reporting
* Learn and apply data engineering best practices: idempotency backfill strategies schema evolution and partitioning
- 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.
- Knowledge of AWS Infrastructure
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.
We are Data Engineers to build the facilities to help enable the Global Procurement Organization to gain deep insights into all facets of indirectly supply management and apply advanced data science for automation and decision making.
You are someone who is customer focused relentless and driven to help us build out a brand-new initiative. You will collaborate closely with product managers developers and leaders across the org. To be successful in this role you should have broad skills in database design be comfortable dealing with large and complex data sets modeling and designing a strong data warehouse and building self-service data platforms for stakeholders to utilize the data we manage.
Key job responsibilities
* Build and maintain scalable ETL/ELT data pipelines that ingest transform and serve procurement data across multiple systems
* Support existing data infrastructure including quality monitoring alerting and SLA tracking for critical business data feeds
* Implement data models and table schemas following established patterns across our data warehouse (Amazon Redshift / AWS Glue catalog)
* Work with business stakeholders and analysts to understand data requirements and deliver reliable well-documented data products
* Contribute to data quality frameworks write validation logic data contracts and anomaly detection jobs
* Participate in on-call rotations and troubleshoot pipeline failures affecting downstream procurement reporting
* Learn and apply data engineering best practices: idempotency backfill strategies schema evolution and partitioning
- 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.
- Knowledge of AWS Infrastructure
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
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