Faire · boards.greenhouse.io · checked today
Senior Analytics Engineer
Skills, with evidence
- Python
Production-level development experience in Python.
must have - SQL
Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
must have - Warehousing
Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
must have - Airflow / orchestration
Experience with Airflow, Docker, DBT or similar analytics workflow tools.
- Data modelling
<li>Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.</li>
- Data quality
<li>Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.</li>
- Cost & performance
<li>Optimize processes for operational excellence in project management and system reliability.</li>
- dbt
<li>Experience with Airflow, Docker, DBT or similar analytics workflow tools.</li>
- Kubernetes
<li>Experience with Airflow, Docker, DBT or similar analytics workflow tools.</li>
not practised here - Machine learning
At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
not practised here
Your plan
- SQL
drills at the Senior level
- Python
drills at the Senior level
- Modelling
drills at the Senior level
- Pipelines
drills at the Senior level
- Spark
drills at the Senior level
The full plan, drill by drill, is on the job page.
leaves in 13 dremoved the moment Faire closes it