This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.
Key Responsibilities:
Develop internal tools for various teams .
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.
Our Tech Stack:
Python, BigQuery, Redis, RabbitMQ, MySQL, Tornado, SQLAlchemy, Airflow, Airbyte, NewRelic, Elastic, Kubernetes (K8S)
Experience: Minimum 5 years as a Backend Engineer.
Proficiency in Python: At least 5 years of experience, or expertise in an equivalent programming language.
Microservices and APIs: Proven experience in writing and maintaining microservices and REST APIs.
SQL Expertise: Strong proficiency in SQL.
Event-Driven Development: Hands-on experience with event-based development.
Big Data Experience: Familiarity with big data and high-velocity/volume systems is a plus.
Cloud Environments: Experience with multi-cloud environments (Azure, GCP, AWS).
