Junior Full Stack Data Engineer
Tasks
- Apply analytical analysis
- Automate data tasks with LLM workflows
- Build ELT pipelines
- Build Power BI dashboards
- Create Power BI semantic models
- Design SQL models
- Ensure data quality and testing
- Identify trends and anomalies
- Integrate applications and APIs
- Maintain version-controlled code
- Manage pipeline dependencies
- Monitor pipeline jobs
- Optimize SQL transformations
- Orchestrate data pipelines
- Participate in pipeline monitoring
- Perform code reviews
- Run dbt tests
- Transfer data between AWS services and Snowflake
- Tune Snowflake models
- Use MCP servers in data workflows
- Write DAX measures
- Write dbt models
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Airflow | DAX | DBT | DBT Cloud | Dagster | Data Warehousing | Dimensional Modeling | Docker | ELT | Git | Glue | IAM | LLM APIs | Lambda | MCP | Power BI | Python | Query Optimization | Relational design | S3 | SQL | Snowflake | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analytics | Analytics Engineer | Data Engineer | Engineer | Full Stack | Full Stack Data Engineer
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