Junior Full Stack Data Engineer
Tasks
- Analyze data for business insights
- Apply DAX for reporting
- Automate data tasks with LLM workflows
- Build ELT pipelines
- Build Power BI semantic models
- Communicate findings to stakeholders
- Create Power BI dashboards
- Design SQL models
- Develop dbt models
- Implement data testing and monitoring
- Ingest clean transform data
- Integrate source applications and apis
- Maintain version-controlled code
- Monitor pipeline failures and runs
- Move data across aws and snowflake
- Orchestrate pipeline scheduling and dependencies
- Perform code reviews
- Tune Snowflake models
- Use MCP servers in data workflows
- Validate data quality and reliability
- Write SQL transformations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Anthropic | DAX | DBT | DBT Cloud | Dagster | Docker | ELT | Git | Glue | IAM | LLM APIs | Lambda | MCP | OpenAI | Power BI | Python | S3 | SQL | Snowflake | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Master of Science
Roles
Analytics | Analytics Engineer | Data Engineer | Engineer | Full Stack | Full Stack Data Engineer
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