Data Engineer

We are seeking highly skilled and innovative Data Engineers to join our team. As an Data Engineer, you will play a crucial role in scaling our back end data operations. You will be responsible for designing, implementing, and fine-tuning our infrastructure using cutting-edge tools

About the job

As a Data Engineer, you will drive Bazze’s data operations. This includes everything from writing extensible code to performance monitoring and optimization. You will design and implement features used by research scientists, intelligence analysts, and economic forecasters, in countries around the world. You'll be an integral part of a small engineering team that is passionate about building great software. You will have the technical freedom to lead the architecture for best in class performance and reusability.

Key Responsibilities

• Work closely with the team in order to ensure the quality, performance, and usability of our product
• Write high-performance code for processing and querying large amounts of structured and unstructured data
• Ensuring we have the proper backend resources to meet the demand of our customers
• Be responsible for the overall performance of the system - monitoring, scaling, fixing issues as they arise
• Review designs and code with the engineering team
• Troubleshoot pre- and post-production implementation
• Propose new ideas when there is strong business value and stay up to date on the latest technology trends and techniques
• Provide creative ideas and introduce cutting-edge technology

The Candidate

Qualifications:

• Proficiency in writing production-quality code, preferably in Python. Scala is also good.
• Experience building scalable data platforms - previous SaaS experience preferred
• Experience with designing REST API’s
• Proficiency with Spark - writing code, scaling, and optimization
• Familiar with the AWS ecosystem - Especially Athena, Glue, EMR, Lambda, API Gateway
• Strong familiarity with map/reduce programming models
• Experience working remotely and asynchronously (Slack, Google Drive, Trello)
• Deep understanding of all things “database” - schema design, optimization, scalability, etc.
• Desire to set the culture and build engineering excellence from the ground up

Preferred

• Experience with building ML models from the ground up
• Experience working with huge data sets
• Devops experience - automating workflows
• Database and Systems Design, Scala, Data Science