Backend Software Engineer - Data Services

We are looking for a skilled Backend Data Engineer to join our team, focusing on defining, creating, and optimizing data flows within our microservices system while contributing to general service development.

Key Responsibilities:

• Design, develop, and maintain scalable high-performance microservices.
• Design and implement efficient data pipelines and ETL processes
• Contribute to backend service development as part of the engineering team
• Optimize data storage and retrieval mechanisms for microservices
• Develop and maintain data models and schemas
• Implement data validation and quality assurance processes
• Collaborate with data scientists and analysts to support data-driven decision making
• Monitor and optimize database performance
  
  

• 5+ years of experience with backend programming languages such as Java, C#, Go, Python, Rust (minimum 2 from the list)
• 3+ years of experience in backend development with high-performance distributed systems.
• Strong knowledge of microservices architecture and design patterns
• Experience designing and developing high-performance APIs.
• Experience with writing and maintaining unit and integration tests.
• Vast hands-on proficiency with large-scale, low-latency distributed cloud systems (GCP - preferred, AWS) - must.
• Strong knowledge of advanced data structures and algorithms.
• Understanding of data modeling and normalization techniques
• Knowledge of databases (SQL and NoSQL), data storage solutions, data querying and manipulation tools.
• Experience in building large-scale of Streaming/Batch ETL using processing engines (Dataflow and Spark - preferred, Beam, Flask etc) - must
• Expertise to write efficient, low-latency SQL queries vs modern data-warehouse solutions (BigQuery - preferred, Redshift, ClickHouse etc) - must
• Experience with data streams systems (Pub-Sub - preferred, Kafka or Flink) - must
• Experience in DevOps architecture with CI/CD workflows, and DevOps practices.
• Hand-on experience with Docker and Kubernetes.
  
  

• Knowledge of C++ and Rust programming languages
• Experience with Google Cloud Platform (GCP) data services
• Familiarity with data visualization tools
• Experience with graph databases
• Experience with high performance protocols, like gRPC, HTTP/2, HTTP/3, WebSockets.
• Experience with Big Data technologies and frameworks.
• Exposure to AI and Machine Learning concepts, tools and pipelines.
  
  

• Fluent in English, with excellent communication skills.
• Bachelor’s degree in computer science, IT, or a related field.
• Excellent problem-solving with passion for learning new technologies and practices.
• Excellent communication and teamwork abilities
• Experience working in Agile/Scrum environments