Data Engineer, Alexa Connections
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Posted on:
20 hours ago
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1 Vacancy
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Job Summary
Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication Join our dynamic Alexa Connections team as a Data Engineer and lead futuristic big data initiatives that will shape the next generation of intelligent conversational this role youll work at the intersection of disruptive AI technologies and real-world impact making a difference for millions of customers. Youll collaborate with a team of passionate professionals who are as excited about innovation as you are and together youll push the boundaries of whats possible with Alexa.
As a Data Engineer youll drive the development of data pipelines and automation to process massive datasets for our next-generation communication features powered by advanced AI technologies including Generative Agentic and Real-time AI. Youll work closely with cross-functional teams including product management design engineering and data science to design and deliver innovative solutions that leverage these AI technologies to enable seamless intelligent communication experiences. Youll also lead the integration of these advanced AI systems into Alexas core capabilities ensuring a seamless and intuitive user experience.
Key job responsibilities
- Work closely with data scientists and engineers to create robust data architectures and pipelines
- Develop and manage scalable data pipelines to extract transform and load data from various sources
- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions
- Automate data processing and reporting workflows to improve efficiency and data integrity
- Implement data quality checks and monitor processes to maintain high data accuracy
- Simplify and enhance the accessibility clarity and usability of large and complex datasets through the development of data cubes and data sharing solutions
- Develop and manage scalable automated and fault-tolerant data solutions using technologies such as Spark EMR Python Redshift Glue and S3
About the team
Alexa Connections aspires to make Alexa the worlds most trusted connection assistant for getting things done and creating moments of joy. Our vision emphasizes a) Trust as our foundation for becoming a daily habit knowing our customers have plentiful choices b) Completion of end-to-end customer journeys beyond shipping features and c) Joy through personalized proactive experiences that create a memory.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
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.
As a Data Engineer youll drive the development of data pipelines and automation to process massive datasets for our next-generation communication features powered by advanced AI technologies including Generative Agentic and Real-time AI. Youll work closely with cross-functional teams including product management design engineering and data science to design and deliver innovative solutions that leverage these AI technologies to enable seamless intelligent communication experiences. Youll also lead the integration of these advanced AI systems into Alexas core capabilities ensuring a seamless and intuitive user experience.
Key job responsibilities
- Work closely with data scientists and engineers to create robust data architectures and pipelines
- Develop and manage scalable data pipelines to extract transform and load data from various sources
- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions
- Automate data processing and reporting workflows to improve efficiency and data integrity
- Implement data quality checks and monitor processes to maintain high data accuracy
- Simplify and enhance the accessibility clarity and usability of large and complex datasets through the development of data cubes and data sharing solutions
- Develop and manage scalable automated and fault-tolerant data solutions using technologies such as Spark EMR Python Redshift Glue and S3
About the team
Alexa Connections aspires to make Alexa the worlds most trusted connection assistant for getting things done and creating moments of joy. Our vision emphasizes a) Trust as our foundation for becoming a daily habit knowing our customers have plentiful choices b) Completion of end-to-end customer journeys beyond shipping features and c) Joy through personalized proactive experiences that create a memory.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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