Data Engineer
Tasks
- Build and maintain scalable reliable data pipelines
- Conduct code reviews and share best practices
- Design data pipelines for ELT ETL
- Develop data models with dbt
- Develop documentation data dictionaries and diagrams
- Ensure data quality with tests and validation
- Ingest data from external sources
- Monitor data pipelines and implement controls
- Optimize pipeline performance and query efficiency
- Orchestrate workflows with Prefect
- Secure data with access controls encryption and masking
Perks/Benefits
- 401k match
- Career growth
- DashPass membership
- Gym reimbursement
- Medical/Dental/Vision
- Paid Holidays
- Paid parental leave
- Paid time off
- Phone bill reimbursement
- Team activities
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | Access Control | DBT | Data Observability | Data Quality | Data masking | Dimensional Modeling | Encryption | Git | Prefect | Python | SCD Type-2 | SQL | Snowflake | Snowflake Schema | Star Schema | Terraform | Type 2)
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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