Data Engineer

What You’ll Do

• Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.
• Build and manage OLAP databases, ELTs and general data tooling for analytics, business decisions and products features.
• Work closely with a team of frontend and backend engineers, product managers, and analysts.
• Optimize data infrastructure to enhance the throughput, latency and reliability of the data system.
• Investigate and correct issues identified through data operations monitors, tools, and reports.
• Designs data integrations and data quality framework.

What You’ll Bring

• 5+ years of experience in Data Engineering or Backend Engineering with a focus on data systems.
• Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL (any variant)
• Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services
• Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types
• Deep knowledge of modern data infrastructure best practices
• Experience with distributed systems and different distributed processing frameworks
• Experience with Terraform, Kubernetes, and containerization technologies.
• Familiarity with the deploying ML models at scale a bonus
• Experience in building data products that are well-modeled, documented and easy to understand and maintain.
• Ability to prioritize amidst changing priorities in a fast moving environment