Salary
💰 $208,000 - $235,000 per year
Tech Stack
CassandraCloudDynamoDBMongoDBMySQLNoSQLPostgresPythonSpark
About the role
- Design and evolve scalable, distributed data infrastructure across cloud platforms
- Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads
- Develop and manage integrations with third party e-commerce platforms to expand our data ecosystem
- Ensure data availability, reliability and quality through monitoring and automated auditing
- Partner with engineering, AI and product teams on data solutions for business critical needs
- Mentor and support data engineers, establishing best practices and code quality standards
Requirements
- 5+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
- Deep expertise scaling Spark in production (Databricks, EMR, etc)
- Strong understanding of distributed computing and modern data modeling for scalable systems
- Proficient in Python with experience implementing software engineering best practices
- Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases
- Strong communicator with experience influencing cross functional stakeholders