Data Platform Engineer

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.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).Requirements: 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).This position is open to all candidates.