Overview
About The Role
This role puts you in the bleeding edge of building the next generation of multi cloud data lake. You will be directly shaping the strategy of the execution over the next few year as we set out to build a novel architecture that's unlike anything.
We belong to the Batch Infrastructure team, situated within the Platform organization in Bangalore. We are responsible for storing and serving exabyte of data for our data lake. Everyday hundreds of PB of data is being served via billions of RPCs. This data powers our pricing, payment, routing etc for our core business. It is also key to our new AI efforts to train the next generation of ML models.
Uber is evolving from an on prem data center model to an industry first multi cloud model. As part of this the entire data stack is getting migrated to the cloud and transforming from a single region model to a multi region model.
Our vision to build an unified storage layer that will support the evolving needs of data lake users in the new cloud world. With such a layer, users across the company will be able to produce data ( bytes to petabytes ) anywhere and from any cloud vendor and access it from anywhere across any other vendor or region. Such a layer has a huge cost efficiency advantage and it can leverage cheaper storage options in the cloud.
We will build new systems and standards ( which we plan to open source ) and lead the industry on a new unique architecture for storage.
What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
You will be sitting at the core of big data infra at Uber, building systems that handle PBs of data. You'll be handling the complex challenges of building tooling and automations to allow Uber to migrate to cloud.
The project is dynamic in nature and we believe in moving and learning fast.
Basic Qualifications
BE/BS in Computer Science. Strong knowledge of any one programming knowledge. Good understanding of system designs
Preferred Qualifications
Java, Python, Big Data, Distributed Systems
This role puts you in the bleeding edge of building the next generation of multi cloud data lake. You will be directly shaping the strategy of the execution over the next few year as we set out to build a novel architecture that's unlike anything.
We belong to the Batch Infrastructure team, situated within the Platform organization in Bangalore. We are responsible for storing and serving exabyte of data for our data lake. Everyday hundreds of PB of data is being served via billions of RPCs. This data powers our pricing, payment, routing etc for our core business. It is also key to our new AI efforts to train the next generation of ML models.
Uber is evolving from an on prem data center model to an industry first multi cloud model. As part of this the entire data stack is getting migrated to the cloud and transforming from a single region model to a multi region model.
Our vision to build an unified storage layer that will support the evolving needs of data lake users in the new cloud world. With such a layer, users across the company will be able to produce data ( bytes to petabytes ) anywhere and from any cloud vendor and access it from anywhere across any other vendor or region. Such a layer has a huge cost efficiency advantage and it can leverage cheaper storage options in the cloud.
We will build new systems and standards ( which we plan to open source ) and lead the industry on a new unique architecture for storage.
What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
You will be sitting at the core of big data infra at Uber, building systems that handle PBs of data. You'll be handling the complex challenges of building tooling and automations to allow Uber to migrate to cloud.
The project is dynamic in nature and we believe in moving and learning fast.
Basic Qualifications
BE/BS in Computer Science. Strong knowledge of any one programming knowledge. Good understanding of system designs
Preferred Qualifications
Java, Python, Big Data, Distributed Systems
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