Data Engineer l
Job Summary
Job Description
As a Data Engineer l at Barracuda, you will be part of a dynamic team responsible for enterprise data and data governance. You will assist in sourcing, modeling, and warehousing data from various sources. Your work will support data activation, BI, and AI use cases across departments such as finance, marketing, and customer success, positively impacting the top line of the company.
Must have:
- 3+ years of industry experience as a Data Engineer on large data sets.
- Strong programming skills in Python.
- Excellent knowledge of SQL.
- Experience with public cloud, preferably AWS and related services.
Perks:
- Internal mobility – there are opportunities for cross training and career growth.
- Equity, in the form of non-qualifying options.
6 skills required
Job Details
Job ID 26-107
Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use.
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
As a Data Engineer l at Barracuda, you will be part of a dynamic team responsible for the enterprise data and data governance. You will assist in sourcing, modeling, and warehousing data from various sources, including telemetry and usage data from over a dozen products, CRM systems like Salesforce, ERP systems like NetSuite, and various marketing systems and services. Your work will support data activation, BI, and AI use cases across departments such as finance, marketing, and customer success, positively impacting the top line of the company.
Tech Stack
- SQL, Python, PySpark
- Databricks
- AWS
What you’ll be working on
- Assist in the development and maintenance of ETL pipelines to reliably ingest, cleanse, transform and store data.
- Support the implementation of data models to organize data logically and efficiently for various analytics and ML use cases.
- Implement data quality checks and enforce data governance practices to ensure data integrity and reliability.
- Assist in building reverse ETL pipelines to activate data in external systems.
- Implement data infrastructure using infrastructure-as-code.
What you bring to the role
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
- 3+ years of industry experience as a Data Engineer working on large data sets.
- Strong programming skills in Python.
- Excellent knowledge of SQL.
- Experience with public cloud, preferably AWS and services such as Redshift, S3, ECS, EC, Kinesis etc.
- Excellent communication skills and the ability to work collaboratively with cross-functional teams.
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.
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