
Data Platform Engineer
3 days ago
Summary
Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: "Is my data safe?
At Varonis, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. We've built the industry's first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At Varonis, we move fast. We're an ultra-collaborative company with brilliant people who care deeply about the details. Together, we're solving interesting and complex puzzles to keep the world's data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Key Responsibilities:
- Design and implement scalable data processing pipelines using Azure Databricks and other modern data platforms to power real-time analytics and insights.
- Push boundaries by pioneering new technologies and stretching existing ones to their limits—be a trailblazer in data innovation.
- Design, build, and maintain scalable data processing and analytics infrastructure and pipelines, optimizing for performance and cost efficiency.
- Collaborate cross-functionally with software engineering, product, and research teams to understand data needs and ensure data solutions meet business requirements.
- Engage with strategic customers, ensuring our data solutions meet high standards and deliver measurable value in real-world environments.
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines to integrate data from diverse sources, optimizing for performance and cost efficiency.
- Leverage Databricks and other modern data platforms to manage, transform, and process data
- Collaborate with data scientists and other software teams to understand data needs and ensure data solutions meet business requirements.
- Optimize data processing workflows for performance and scalability.
Requirements
- 4+ years of experience in data engineering, including cloud-based data solutions.
- Proven expertise in implementing large-scale data solutions.
- Proficiency in Python, SQL, PySpark is a plus.
- Experience with ETL processes.
- Experience with cloud and technologies such as Databricks (Apache Spark) and Azure Data factory.
- Strong analytical and problem-solving skills, with the ability to evaluate and interpret complex data.
- Experience leading and designing data solutions end-to-end, integrating with multiple teams, and driving tasks to completion.
Advantages
- Familiarity with either On-premise or Cloud storage systems
- Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
We invite you to check out our Instagram Page to gain further insight into the Varonis culture
@VaronisLife
Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
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