Staff Engineer, Data & Analytics
Tasks
- Build application to application data connectors
- Build batch and streaming data pipelines
- Collaborate with business stakeholders
- Create BI dashboards
- Define technical standards
- Design data products
- Develop data models
- Ensure data pipeline observability
- Implement data validation and cleansing
- Lead large-scale initiatives
- Mentor and train engineers
- Modernize legacy data systems
- Present data stories to leadership
- Translate business requirements into engineering solutions
- Troubleshoot data engineering issues
Perks/Benefits
- Flexible vacation
- Flexible work options
- Hackathons
- Mentorship programs
- Recognition programs
- Referral rewards
- Training and career development
- Virtual fitness classes
- Well-being programs
Skills/Tech-stack
Apache Airflow | CI/CD | Cloud platform | Containerization | DBT | Data Cleansing | Data Validation | Databricks | Databricks Lakehouse | Datadog | Git | Google BigQuery | Google Cloud | Google Cloud Platform | Grafana | Informatica | Looker | Observability | PostgreSQL | PowerBI | Python | REST APIs | RESTful APIs | SQL | Serverless | Snowflake | Version control
Education
N/A
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