Senior Data Engineer
Core
Building and maintaining scalable data pipelines and infrastructure to handle massive datasets, ensuring data availability and performance for analytics and machine learning.
Role type
Senior Data Engineer
Builds
Data pipelines, ETL processes, and cloud-based data warehouses
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, PostgreSQL, Clickhouse, Python, DuckDB, Polars, Airflow, dbt, Kafka, AWS Redshift, data warehousing concepts, data validation, pipeline observability
Preferred skills
GoLang, Rust, Datadog, Grafana
Responsibilities
Develop and maintain scalable data pipelines and ETL processes; Design, implement, and optimize data extraction and loading processes; Lead data engineering reliability and observability initiatives; Collaborate with backend and analytics engineers; Ensure data quality and consistency across sources; Work with cloud-based data warehouses to manage large datasets; Monitor and troubleshoot data pipelines; Create dashboards as data products
Seniority
Senior, hands-on IC
