Data Engineer
Tasks
- Apply machine learning and LLMs to data problems
- Automate data ingestion and cleansing
- Build ETL/ELT workflows
- Create data visualization dashboards
- Deliver insights to stakeholders
- Design data pipelines
- Develop and maintain APIs and internal tools
- Document data models and best practices
- Maintain data pipelines and transformations
- Manage data architecture and infrastructure
- Model and document reusable data products
- Perform data quality improvements
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Airflow | ArgoCD | BigQuery | CI/CD | Cause analysis | DBT | Dagster | Data Visualization | DataOps | DevOps | Docker | ELT | ETL | Git | GitHub Actions | GitLab CI | GitLab CI/CD | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Machine Learning | Pandas | Power BI | Prompt engineering | Python | React | Root Cause Analysis | Root cause | SQL | Snowflake | Spring Boot | Tableau | Terraform | TypeScript | “as-code”
Education
Roles
Regions
Countries
States
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