Senior Data Engineer - Product
Tasks
- Automate data workflows
- Build Streamlit applications
- Build data pipelines
- Collaborate with product and data science teams
- Create dashboards and reporting platforms
- Design data pipelines
- Develop ETL/ELT processes
- Ensure pipeline reliability
- Implement data governance
- Implement data security best practices
- Improve data quality
- Maintain data pipelines
- Manage access control policies
- Manage version control and deployments
- Model data in Snowflake
- Monitor SLAs
- Optimize data operations cost
- Optimize pipeline performance
- Run data quality checks
- Track pipeline dependencies
- Troubleshoot data issues
- Tune Snowflake performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Agile | Amazon Redshift | Amazon S3 | Apache Spark | Azure | BigQuery | Cloud platform | Cursor | Data Governance | Data Modeling | Data Quality | Data Security | Data Warehousing | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Kanban | Python | SLA monitoring | SQL | Scrum | Snowflake | Streamlit | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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