* Data Engineer

(25-224)Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data and applications with innovative solutions that grow and adapt with our customers’ journey. More than 200,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level.    We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.

Envision yourself at Barracuda We currently have an exciting new position open for a Data Engineer. This person will assist in driving technology innovation for engineering projects and work on architecture of AWS, Data Lake (Databricks/Elastic) and Kubernetes. They will also work closely with the Technology Architect to create and drive the Architecture Review Board. Tech Stack:

• Databricks, Snowflake, or other distributed computing platform
• AWS Cloud Databases: RDS, Opensearch, DynamoDB, etc
• Streaming Technologies: Kafka, Kinesis, etc
• Spark, Python, SQL, Scala, or other high-level language at scale (C++, Java)
• Terraform, or other deployment orchestration technology.

 What you’ll be working on

• Ingesting, processing, enriching, and distributing very large datasets
• Optimizing systems for a balance of cost and business impact
• Instrumenting and orchestrating data pipelines with the latest CI/CD patterns
• Implementing data pipelines along with our Machine Learning and Data Enrichment teams to enable and scale our Machine Learning Operations objectives

 What you bring to the role 

• Bachelor Degree or Post Graduate in Computer Science, or relevant work experience.
• 3+ years of experience in an Engineering / Data ingestion and process heavy organization. 
• 1+ years of experience as a Data Analysis and Data Design responsible for data architecture of a SaaS application. 
• Strong sense of ownership and desire to succeed as a team
• Strong understanding of distributed computing and experience building large data systems
• A high degree of engineering rigor and uncompromising drive for quality

What you'll get from us

A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. In addition, you will receive equity, in the form of non-qualifying options.  #LI-Hybrid