Senior Data Engineer, Kuiper Intelligence Data Service
Have you ever wanted to be part of a team who is building industry changing technology? Amazon's Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world.
Project Kuiper is seeking a Senior Data Engineer to join our team and help us build an enterprise grade data lake/mesh hybrid with the latest AWS data services.
This role will be a key member of the Kuiper Enterprise Technology team.
You will work closely with peers across all Kuiper teams, including hardware, software, supply chain, manufacturing, launch, facilities, finance, compliance, and HR.
You will employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, optimization models, statistical models, and simulations.
As a Sr Data Engineer, you will be responsible for architecture and engineering of data infrastructure across our systems of supply chain, development, production and test.
You will provide analytical support for production optimization by managing data store, develop and track key performance indicators and help make data driven program decisions.
This role will be designing and developing ingestion of data that will provide insights into our business health.
Key job responsibilities- Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.
- Partner with product, operational, and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.
).
- Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via mechanisms.
- Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.
- Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
- Provide guidance on data stewardship for teams onboarding to the central data systems.
Export Control Requirements:
Due to applicable export control laws and regulations, candidates must be a U.
S.
citizen or national.
A day in the lifeThe ideal candidate has outstanding analytical abilities, excellent communication skills, a good business understanding, and is technically savvy.
They are an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can interface between technical teams and business stakeholders.
They can embrace an Agile development environment, promoting adaptability and responsiveness and demonstrate flexibility in responding to changing project requirements and priorities.
About the teamHere at Amazon, we embrace our differences.
We are committed to furthering our culture of inclusion.
Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.
We have innovative benefit offerings, and host annual and ongoing learning experiences.
Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
At Amazon, our mission is to be the most customer-centric company on Earth.
To get there, we need exceptionally talented, bright and driven people.
We're dedicated to supporting new team members.
Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorshipWe are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
Project Kuiper is seeking a Senior Data Engineer to join our team and help us build an enterprise grade data lake/mesh hybrid with the latest AWS data services.
This role will be a key member of the Kuiper Enterprise Technology team.
You will work closely with peers across all Kuiper teams, including hardware, software, supply chain, manufacturing, launch, facilities, finance, compliance, and HR.
You will employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, optimization models, statistical models, and simulations.
As a Sr Data Engineer, you will be responsible for architecture and engineering of data infrastructure across our systems of supply chain, development, production and test.
You will provide analytical support for production optimization by managing data store, develop and track key performance indicators and help make data driven program decisions.
This role will be designing and developing ingestion of data that will provide insights into our business health.
Key job responsibilities- Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.
- Partner with product, operational, and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.
).
- Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via mechanisms.
- Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.
- Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
- Provide guidance on data stewardship for teams onboarding to the central data systems.
Export Control Requirements:
Due to applicable export control laws and regulations, candidates must be a U.
S.
citizen or national.
A day in the lifeThe ideal candidate has outstanding analytical abilities, excellent communication skills, a good business understanding, and is technically savvy.
They are an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can interface between technical teams and business stakeholders.
They can embrace an Agile development environment, promoting adaptability and responsiveness and demonstrate flexibility in responding to changing project requirements and priorities.
About the teamHere at Amazon, we embrace our differences.
We are committed to furthering our culture of inclusion.
Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.
We have innovative benefit offerings, and host annual and ongoing learning experiences.
Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
At Amazon, our mission is to be the most customer-centric company on Earth.
To get there, we need exceptionally talented, bright and driven people.
We're dedicated to supporting new team members.
Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorshipWe are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
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