Data Engineer designing and implementing scalable data architecture for HR and people analytics. Collaborating with teams to ensure reliable data pipelines and integration using modern technologies.
About the role
- Senior Data Engineer architecting and maintaining scalable data systems while collaborating with cross-functional teams at SpotOn, aimed at empowering independent restaurants.
Responsibilities
- Architect, develop, and maintain scalable software solutions for our reporting and analytics platforms.
- Design and implement data pipelines, ETL processes, and integrations using ClickHouse, Streamkap, PostgreSQL, Snowflake, MongoDB, Kafka, and AWS.
- Write and Optimize SQL queries that drive merchant reporting outcomes and improve database performance across large-scale, distributed systems.
- Contribute to defining and refining system architectures, including cloud infrastructure and containerization strategies.
- Implement robust data observability monitoring, logging, and alerting solutions using tools like Grafana, Metaplane, and OpenTelemetry.
- Mentor junior and mid-level engineers, promoting technical excellence and best practices.
Requirements
- 5+ years of professional software and data engineering experience.
- Proficient in Python; experience with GO and TypeScript or JavaScript is highly beneficial.
- Extensive experience with databases and data warehouses such as ClickHouse, PostgreSQL, and MongoDB.
- Strong understanding of real-time data streaming and messaging systems, especially Kafka.
- Experience designing and implementing robust ETL pipelines and handling large-scale data migrations.
- Familiarity with cloud services, especially AWS, including IAM roles, S3, RDS, and MSK.
- Proven ability in performance tuning and optimization for high-volume, low-latency data systems.
- Experience applying core data observability principles to create a transparent and resilient data platform.
- Comfortable with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Strong experience with infrastructure as code (IaC) tools and best practices.
- Deep understanding of software development best practices, CI/CD pipelines, and DevOps methodologies.
Benefits
- Offers Equity
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