Data Engineer I

About the role

We are looking for an experienced Data Engineer to design, develop, and support scalable data platforms and pipelines. The ideal candidate will have extensive experience with modern cloud-based data platforms, distributed data processing, Kubernetes, and data warehousing technologies. The role involves working closely with product teams, analytics, and platform engineers to deliver reliable and scalable data solutions across multiple markets.

What you'll do

• The Data Engineer I at Circles operates at the intersection of Data Engineering, Cloud Infrastructure, and Platform Engineering
• Be part of the team responsible for building, and maintaining scalable data platforms that power analytics, reporting, machine learning
• Develop, and optimize scalable batch and streaming data pipelines using modern data engineering technologies
• Build and maintain cloud-native data platforms, including data lakes, data warehouses, and real-time data processing systems
• Take end-to-end ownership of data engineering initiatives, including solution design, development, testing, deployment, performance tuning, monitoring

What you need

• 1–4 yrs of experience
• SQL
• ETL
• Python
• AWS
• Spark
• BigQuery
• Any graduate

Good to have

• LLMs
• MLOps
• Kafka
• MongoDB
• NoSQL
• JIRA