Job Description
Responsibilities
- Work within a full-stack team of engineers to develop, maintain, and optimize scalable data pipelines, backend services, and APIs for data-driven features like recommendations, content discovery, groups, and events in .
- Design and implement data models and schemas that support both analytical needs and real-time recommendation systems.
- Collaborate with data scientists, product managers, and other engineers to ensure the correct data is captured, processed, and available to power meaningful user experiences.
- Implement and maintain data processing jobs using big data technologies (e.g., Spark, Kafka) to handle large-scale datasets.
- Contribute to the evolution of our technical and product capabilities, helping to progress from simple heuristics to more sophisticated, data-backed personalization for content and experiences.
- Participate in the design and implementation of backend systems including REST and websocket APIs, caching systems, queueing systems, and cloud orchestration.
- Be available to occasionally jump into action to solve an outage.
Qualifications
- 3+ years of experience in software engineering, with a strong focus on data engineering and building scalable backend systems for SaaS products or online platforms.
- Proven experience building and optimizing production-grade data pipelines (ETL/ELT).Strong proficiency in SQL and experience with database optimization for both analytical queries and high-throughput real-time access.
- Experience with big data technologies such as Spark, Hadoop/Beam, or Kafka.
- Experience with cloud providers at scale, such as AWS or Google Cloud.
- Able to work in a variety of languages and technologies, such as Python, JavaScript/Node.js, Mongo, and Redis.
- Experience with Elasticsearch, data warehousing, and machine learning (ML) systems.
- An agile, collaborative mindset and excellent communication skills, capable of working effectively in a remote, cross-functional team environment
Are you interested in this position?
Apply by clicking on the āApply Nowā button below!
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