Full Stack Data Engineer
Tasks
- Analyze data for business insights
- Automate data tasks with AI
- Build Power BI dashboards
- Build ingestion pipelines
- Create Power BI semantic models
- Design ELT pipelines
- Develop dbt models
- Ensure data quality, testing, and monitoring
- Ingest data from source systems to warehouse
- Integrate APIs and applications
- Investigate operational data questions
- Maintain version-controlled code
- Monitor pipeline runs
- Orchestrate pipeline scheduling and dependencies
- Perform code reviews
- Transform data in Snowflake
- Use LLM workflows
- Write performant SQL transformations
Perks/Benefits
- N/A
Skills/Tech-stack
AI Assisted Development | APIs | APIs integration | AWS | Airflow | Clustering | DAX | DBT | Dagster | Data Modeling | Data Quality | Data Quality Testing | Dimensional Modeling | Docker | ELT | Git | Glue | IAM | Indexing | LLM APIs | Lambda | MCP | Monitoring | Pipeline Orchestration | Power BI | Python | Quality testing | Query Optimization | Relational design | S3 | SQL | Snowflake | Terraform
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Analytics | Analytics Engineer | Data Engineer | Engineer | Full Stack | Full Stack Data Engineer
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