Back End Developer (Golang)

Company Description

Itur Intelligence is a company specializing in deep financial intelligence gathering and analysis for governments, corporations, and private companies.

Our focus is on complex and high-value investigations, comprehensive background checks, litigations, and investments.

Role Description

We're seeking a talented Back End Developer with expertise in Golang to play a pivotal role in building and optimizing our data streaming and aggregation infrastructure. You'll work on challenging projects involving data gathering from diverse sources, designing scalable big data streaming architectures, and developing Golang-based solutions for efficient data aggregation and analysis.

Key Responsibilities:

• Data Gathering: Implement robust and efficient data collection mechanisms to pull data from various sources,including APIs, databases, and real-time streams.
• Streaming Architecture: Design and develop high-performance, fault-tolerant big data streaming architectures using technologies like Apache Kafka or similar tools.
• Data Aggregation: Create Golang-based solutions to aggregate, transform, and enrich data streams in real-time to enable meaningful insights and analysis.
• Performance Optimization: Continuously monitor and optimize system performance, ensuring data processing and aggregation pipelines are scalable and meet latency requirements.
• Collaboration: Work closely with data scientists, engineers, and product teams to understand data requirements and deliver solutions that empower data-driven decision-making.

Requirements:

• Golang Expertise: Strong proficiency in Golang programming with experience in building high-performance,concurrent back-end applications.
• Data Streaming: Hands-on experience with big data streaming technologies like Apache Kafka, Apache Pulsar, or similar tools.
• Data Aggregation: Familiarity with data aggregation techniques and experience implementing them in Golang.
• Database Skills: Proficiency in working with relational and NoSQL databases, including data modeling and query optimization.
• Problem-Solving: Excellent problem-solving skills and the ability to analyze complex data pipelines and identify areas for improvement.
• Collaboration: Strong communication and collaboration skills to work effectively within a cross-functional team.