Role overview
We are looking for an experienced Data Engineer to join our team of passionate data engineers, data scientists and analysts and help scale up our data engineering procedures. Our main goal is to ensure the data availability for internal and external processes. In this role, you help build great data infrastructure and enable teams across Nuri to make better data-informed decisions. Your main contributions will be to ensure we have a state-of-the-art data platform, build a data warehouse architecture and maintain robust data pipelines - ensuring all stakeholders getting high quality data in a timely manner.
Our current tech stack: Redshift, MongoDB, AWS Lambda, Stitch, Segment, Github
Here, at Nuri, we celebrate a truly diverse and inclusive company culture and are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
What you'll work on
- You actively propose improvements and development of our current and future data tech stack
- You build and maintain robust data pipelines and cloud data workloads
- You work closely with data analysts and gather requirements
- You integrate new data sources into our data warehouse
- You develop highly scalable & performant data models - enabling complex data science projects for our analysts
What we're looking for
- You bring at least 2 years experience as a Data / DWH Engineer - ideally in a startup setting, working with cloud solutions
- You have experience in at least one scripting language, ideally Python
- You are an expert in SQL & database performance optimizations
- You have experience in setting up data orchestration tools such as DBT or Airflow and within AWS environment
- You developed data models and a data warehouse architecture
- You have experience in real-time data streaming would be preferred e.g. Kafka, Kinesis
- You have a strong interest and passion for data engineering and data science
- You work in a structured manner, and are able to handle and prioritize your tasks well in an ambiguous environment