Data Engineer

Description

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough. Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.  

For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions. 

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.

Requirements

Job Title: Data Engineer

Key Responsibilities:

• Develop and manage Big Data ingestion queues and enrichment services in a distributed environment.
• Design and implement resilient and performance-efficient topologies.
• Create effective and comprehensive data models for both graph and non-graph searches.
• Collaborate with customer technical teams to support integration and delivery efforts at customer sites.

Requirements:

• At least 3 years of experience in Java/Python.
• Experience with Docker and Kubernetes.
• Understanding of multithreaded architecture.
• Proficiency in database systems (SQL and NoSQL).
• Excellent interpersonal and communication skills.
• Proficiency in verbal and written English.

Advantages:

• Experience with Big Data Architecture and streaming platforms (Kafka, Flink, etc.).
• Familiarity with ETL Tools (Apache NiFi, etc.).

We believe that diverse teams drive the greatness of ideas, products, and companies. Whatever your race, gender, age, creed, or taste in music – if you’ve got the drive, commitment, and dedication to be the best, do your best, and work with the best, then come join us. We’re waiting for you.

Curious? Apply now.

 Start the adventure