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Senior Data Engineer
Skills
Amazon Web ServicesAnalyticsCDCDialectical Behavior TherapyEngineeringFoundationsFundamentals
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong data engineering experience at senior individual contributor level
- Strong Python and SQL skills in production environments
- Experience with Snowflake dbt Dagster Airflow AWS or similar modern data tooling
- Understanding of data modelling principles and pragmatic application
- Commitment to testing monitoring alerting and data quality
- Ability to communicate clearly with technical and non-technical stakeholders
- Experience working in startup or scale-up environments with high ownership and ambiguity
Nice to have
- High ownership
- Startup mindset
- Collaborative
- Analytical
- Pragmatic
- Detail-oriented
Day to day
- Design, build, and maintain scalable data pipelines that support decision making across the business
- Own end to end data engineering projects from ingestion through to analytics enablement
- Improve SQL based data models, monitoring, alerting, testing, and data quality in a modern cloud environment
