Job Description
We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products.
HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset that got us here. We’ve always approached our work with an idea-first attitude because every one of our accomplishments —no matter how big or small —can be traced back to an idea’s single spark.
It’s that spark —that inner drive —that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled.
Job title: Apache Hadoop Engineer
Work model: Hybrid
Location: London, UK
Mode of Job: Fulltime/contract
Job description:
The Apache Hadoop project requires up to 3 individuals with experience in designing and building platforms and supporting applications both in cloud environments and on-premises.
These resources are expected to be open-source contributors to Apache projects, have an in-depth understanding of the code behind the Apache ecosystem, and be capable of identifying and fixing complex issues during delivery.
Job responsibilities:
* Experience of platform engineering along with application engineering (hands-on)
* Experience in design of an open-source platform based on Apache framework for Hadoop.
* Experience in integrating Infra-as-a-Code in their platform (Bespoke implementation from scratch)
* Experience in design & architect work for the open-source Apache platform in hybrid cloud environment
* Ability to debug & fix code in the open-source Apache code and should be an individual contributor to open-source projects.
Required Skills:
* Apache Hadoop Architecture
* Yarn Architecture
* Spark Architecture
* Cloudera distribution
* Hortonworks