Key skills
ApacheDockerKafkaNoSQLPySparkPythonSparkSQL
About this role
Role Overview
- Design, implement, scale, and maintain backend systems that process large volumes of data.
- Work on event-driven and API-based integrations.
- Contribute to migration efforts toward a more domain-based and scalable architecture.
- Build and optimize software for performance-sensitive workflows.
- Investigate technical problems and propose solutions together with the team.
- Collaborate closely with data science and engineering colleagues on technical solutions.
Requirements
- 10+ years of backend software engineering experience, with strong technical depth.
- Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro.
- Experience with Python and/or PySpark
- Experience building or maintaining complex, high-volume systems
- Experience with Docker, SQL, and NoSQL databases.
- Experience with REST APIs and event-driven integrations.
- Comfortable working in performance-oriented, production-critical environments with high-throughput & low latency systems.
Tech Stack
- Apache
- Docker
- Kafka
- NoSQL
- PySpark
- Python
- Spark
- SQL
Benefits
- Employees can work remotely
- Professional development opportunities