Senior Data Engineer
Core
Design, build, and maintain end-to-end data platforms and pipelines to ensure data accuracy, availability, and quality for Tech, Product, and Analytics teams.
Role type
Senior Data Engineer
Builds
Scalable, efficient, and reliable ETL processes and data pipelines for advanced analytics and machine learning use cases
Domain
Food waste reduction / Social impact / Cloud data infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Terraform, AWS services (S3, Kinesis, Lambda, Redshift, Glue), Airflow, dbt, Docker, Kubernetes, CI/CD tools, Event stream processing
Preferred skills
Modern data architecture, ML platforms, DataOps principles
Technologies
Airflow, Python, dlt, AWS Redshift, Lambda, Kinesis, S3, Glue, dbt, Metaflow, Terraform, GitOps, GitHub Actions, Docker, Kubernetes, OpenSearch, RDS
Responsibilities
Design and maintain data pipelines; Collaborate with software engineers and analytics engineers to develop data models; Develop scalable ETL processes; Monitor and troubleshoot data pipelines; Contribute to data engineering practices and documentation
Seniority
Senior, hands-on IC
