Senior Data Engineer

As a Senior Data Engineer, you will design and optimize data solutions tailored for our brokerage services. Our data landscape is heavily time-series based, making efficiency in real-time data management crucial. You'll use Apache technologies and advanced data storage tools to maintain seamless data operations. Familiarity with DevOps practices, including Docker, Docker Compose, CI/CD, and Linux servers, is essential to ensure a smooth deployment and operational environment.

Key Responsibilities:

•  Build and optimize data pipelines, with a focus on real-time processing.
• Leverage tools and databases (Elasticsearch, PostgreSQL, Redis, QuestDB, Kafka, RabbitMQ, Airflow).
• Implement DevOps practices to streamline deployments and operations.
• Collaborate with software development teams to improve data workflows.

Qualifications:

• Expert in data engineering within time-series management technologies.
• Skilled with Docker, Docker Compose, CI/CD, and Linux servers.
• Strong analytical and problem-solving skills.