Position: Data Engineer

We are seeking a forward-thinking Data Engineer to join our team during a pivotal time of transformation. As we redesign our data pipeline solutions, you will play a key role in shaping and executing our next-generation data infrastructure. This is a hands-on, architecture-driven role ideal for someone ready to help lead this evolution.

In this role, you will:

• Drive the design and architecture of scalable, efficient, and resilient batch and streaming data pipelines.
• Shape the implementation of modern, distributed systems to support high-throughput data processing and real-time analytics.
• Collaborate cross-functionally with data scientists, engineers, and product stakeholders to deliver end-to-end data-driven capabilities.
• Optimize legacy systems during the migration phase, ensuring a seamless transition with minimal disruption.
• Contribute to DevOps and MLOps processes and enhance the reliability, monitoring, and automation of data infrastructure.
• Support the integration and deployment of AI/ML models within the evolving data platform.

What We’re Looking For

• 4+ years of experience building and maintaining data pipelines using tools like Flink, Spark, Kafka, and Airflow.
• Deep understanding of SQL and NoSQL ecosystems (e.g., Postgres, Redis, Elastic, Delta Lake).
• Solid backend development experience, with a strong command of OOP/OOD principles and design patterns.
• Demonstrated experience designing and implementing new data architectures, especially in fast-paced or transitioning environments.
• Exposure to MLOps and the full lifecycle of AI/ML model deployment in production.
• Passion for learning and applying new technologies–whether a new stack or a paradigm shift.
• Experience in DevOps and asynchronous systems; familiarity with RabbitMQ, Docker, WebSockets, and Linux environments is a plus.
• Comfortable taking initiative and working independently with minimal structure.
• Advantageous: experience with routing and navigation algorithms.