Analyze and enhance existing data processes in a specialized data management platform, ensuring efficiency and optimization.

Collaborate closely with the engineering team to seamlessly integrate data solutions into our ecosystem.

Lead the translation of basic product requirements into robust, scalable backend systems.

Engage with diverse stakeholders, necessitating effective communication and teamwork.

Provide technical guidance on coding, data management, and system architecture best practices.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or related fields.

Senior-level experience in backend engineering, with a focus on data-centric projects.

Proficiency in coding languages (e.g., Python, JavaScript) and scripting.

Strong skills in NoSQL databases (e.g., MongoDB) and translating SQL to Aggregation.

Hands-on expertise in ClickHouse, Delta Lake (Python/Spark SQL), Delta Live Tables, Unity Catalog.

Experience with high-velocity, high-volume stream processing: Confluent Kafka, Spark Streaming.

Familiarity with real-time data processing using Spark structured streaming and Kafka.

In-depth involvement across the Data Engineering lifecycle, adept at independent work and solution architecture.

Ability to distinguish between BI analytics and data engineering workflows.