Remote Staff Software Engineer, Streaming Data
Narvar
πRemote - Canada
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Job highlights
Summary
Join Narvar's team as a Staff Data Engineer to build fraud prevention products and improve the company's platform by designing, developing, and maintaining robust streaming data pipelines.
Requirements
- 8+ years of relevant experience
- Proven experience working with streaming data pipelines, preferably using Apache Beam, Dataflow, or similar technologies
- Extensive experience working with Kafka, Pub/Sub or similar technologies
- Extensive experience with large-scale databases such as Google Bigtable/Cassandra, including building and optimizing APIs to serve data
- Expertise in designing table schemas in Bigtable, following best practices for efficient data access and performance
- Expertise in one of the following programming languages: Java, Golang, or Rust
- Demonstrated experience in a zero-to-one startup environment, with the ability to thrive in a fast-paced, entrepreneurial setting
- Strong ownership mindset with a proactive approach to problem-solving and a commitment to delivering high-quality results
- Proficiency in writing SQL queries for analysis and debugging
- Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment
Responsibilities
- Design, develop, and maintain robust streaming data pipelines using technologies like Apache Beam, Dataflow, or similar frameworks
- Architect, implement, and optimize APIs that serve data from large-scale databases such as Google Bigtable
- Design and optimize table schemas in Bigtable, following best practices to ensure efficient data access and performance
- Write efficient, maintainable, and scalable code in one of the following languages: Java, Golang, or Rust
- Demonstrate strong ownership of work by driving projects from concept to production, ensuring high-quality deliverables
- Troubleshoot and resolve data pipeline issues, ensuring high availability and reliability of data services
- Stay updated with the latest industry trends and best practices in data engineering and DevOps
- Collaborate with cross-functional teams to architect scalable data solutions that meet the needs of our rapidly evolving business
Preferred Qualifications
- Prior experience in working in the Fraud/Risk domain
- Experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure
- Familiarity with Devops fundamentals, containerization technologies such as Docker and Kubernetes
- Understanding of data security and privacy best practices
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