Role overview
- 8+ years of experience in data engineering, analytics engineering, or related fields.
- Strong experience with cloud-based data warehouses (Redshift, Snowflake, or BigQuery) and query performance optimization.
- Expertise in SQL, Python, and data transformation frameworks like dbt.
- Experience building scalable data pipelines with modern orchestration tools (Airflow, MWAA, Dagster, etc.).
- Knowledge of real-time streaming architectures (Kafka, Kinesis, etc.) and event-based telemetry best practices.
- Experience working with business intelligence tools (e.g. Looker) and enabling self-serve analytics.
- Ability to drive cost-efficient and scalable data solutions, balancing performance with resource management.
- Familiarity with machine learning operations (MLOps) and experimentation tooling is a plus.
- Strong problem-solving and communication skills—comfortable working cross-functionally with technical and non-technical stakeholders.
Tags & focus areas
Used for matching and alerts on DevFound Stats Engineer Senior Python Airflow