Lead Data Engineer
Tasks
- Architect and implement ETL ELT and streaming data ingestion
- Design build and operationalize data engineering solutions
- Develop data modeling and data warehousing solutions
- Enable self service and automation for business users
- Implement data standards best practices and automation
- Improve data ingestion architecture for data quality and maintainability
- Instrument data analytics platforms with metrics and monitoring
- Integrate data from disparate systems for analysts and scientists
Perks/Benefits
- 401k retirement plan
- Adoption Assistance
- Dental insurance
- Education assistance
- Health insurance
- Holiday pay
- Home purchase discounts
- New hire referral bonus
- Paid Travel Time Off
- Paid parental leave
- Personal days
- Sick leave
- Vacation time
- Vision insurance
Skills/Tech-stack
AWS AppFlow | AWS CloudWatch | AWS EC2 | AWS Glue | AWS IAM | AWS Lambda | AWS S3 | Access Control | Amazon EKS | Amazon EMR | Apache Airflow | CDC | Change Data Capture | Code review | DBT | DBT Cloud | Data Architecture | Data Capture | Data Compliance | Data Governance | Data Ingestion | Data Modeling | Data Quality | Data Security | Data Sharing | Data Warehousing | ELT | ETL | Error Handling | GitHub | Incremental loading | Monitoring | Prefect | Python | QA Testing | Qlik Replicate | REST API | Role-Based Access | Role-Based Access Control | SDLC | SQL | Snowflake | Snowflake Data Sharing | Snowflake data | Streaming | Time Travel | Version control | Zero copy | Zero-Copy Cloning
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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