Staff Software Engineer, Hive (Java)

Reposted 20 Days Ago
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Hiring Remotely in Hungary
Remote
Senior level
Big Data • Software • Analytics
The Role
As a Staff Software Engineer at Cloudera, you will build and maintain data infrastructure, improve code quality, develop automation frameworks, and work with distributed systems.
Summary Generated by Built In

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

Cloudera is a leader in the fast-growing big data platforms market. This is a rare chance to make a name for yourself in the industry and in the Open Source world. The candidate will be responsible for Apache Hive and CDW projects.

We are looking for a candidate who would like to work on these projects upstream and downstream. If you are curious about the project and code quality you can check the project and the code at the following link. You can start the development before you join. This is one of the beauties of the OSS world.

As a Staff Software Engineer you will:

  • Build robust and scalable data infrastructure software

  • Design and create services and system architecture for your projects

  • Improve code quality through writing unit tests, automation, and code reviews

  • The candidate would write Java code and/or build several services in the Cloudera Data Warehouse.

  • Worked with a team of engineers who reviewed each other's code/designs and held each other to an extremely high bar for the quality of code/designs

  • Build out the production and test infrastructure.

  • Develop automation frameworks to reproduce issues and prevent regressions.

  • Work closely with other developers providing services to our system.

  • Help to analyze and to understand how customers use the product and improve it where necessary. 

 

We are excited if you have: 

  • Has 5+ years of experience in software development.

  • Deep familiarity with Java programming language.

  • Hands-on experience with distributed systems.

  • Knowledge of database concepts, RDBMS internals.

You might also have:

  • Knowledge of the Hadoop stack, containers, or Kubernetes is a strong plus. 

  • Has experience working in a distributed team.

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You’ll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You’ll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You’ll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments.  Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

What you can expect from us:

  • Generous PTO Policy 

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy 

  • Mental & Physical Wellness programs 

  • Phone and Internet Reimbursement program 

  • Access to Continued Career Development 

  • Comprehensive Benefits and Competitive Packages 

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#REMOTE

#LI-ZC1

Top Skills

Apache Hive
Cloudera Data Warehouse
Hadoop
Java
Kubernetes
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The Company
HQ: Palo Alot, CA
3,092 Employees
Year Founded: 2008

What We Do

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community,

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