Founding Data Engineer (Analytics Platform)
Tasks
- Architect and manage cloud data warehouse
- Collaborate on product analytics experimentation reporting event tracking and API integrations
- Contribute to data strategy for AI and machine learning initiatives
- Create transformation workflows with dbt
- Design and build scalable ELT ETL pipelines
- Design semantic layers and business metrics
- Develop data orchestration workflows
- Establish data quality testing monitoring lineage and documentation
- Implement secure and privacy aware data practices
- Optimize data warehouse performance scalability and cost
- Promote DataOps best practices with CI CD version control automated testing and documentation
Perks/Benefits
- Competitive compensation package
- Flexible working hours
- Fully remote work
- Modern engineering environment
- Paid vacation days
- Professional growth opportunities
Skills/Tech-stack
Access Control | Amazon Kinesis | Amazon Redshift | Apache Airflow | Automated testing | BigQuery | Business Metrics | CI/CD | DBT | Dagster | Data Governance | Data Modeling | Data Quality | Data orchestration | Kafka | Lineage Tracking | Machine Learning | Prefect | Python | SQL | Scala | Semantic layer | Snowflake | Streaming Data | Version control
Education
N/A
Roles
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