Lead Data Engineer
Tasks
- Build ETL/ELT pipelines
- Define data modeling standards
- Design data warehouse
- Develop data marts
- Ensure data consistency accessibility usability
- Ensure data quality integrity performance
- Establish production readiness
- Evaluate adopt new data engineering tools frameworks
- Integrate enterprise data systems
- Maintain data platform
- Monitor data system reliability
- Optimize data pipeline performance
- Oversee database performance
- Own data architecture solution delivery
- Participate 24 7 on call rotation
- Provide technical mentorship
Perks/Benefits
- Distance based relocation assistance
- Employee assistance program
- Employee business networks
- Enhanced 401k
- Flexible work hours
- Free coffee
- Hybrid work environment
- Onsite gym
- Paid on-call rotation
- Professional development
- Tuition reimbursement
- Wellness program onsite gym
- Wellness programs
Skills/Tech-stack
AWS Athena | AWS Glue | AWS Lambda | AWS S3 | Amazon Aurora | Amazon Redshift | Apache Airflow | CI/CD | CloudFormation | DBT | Dagster | Data Governance | Data Mart | Data Modeling | Data Quality | Data Warehouse | Data pipeline | Database Design | ELT | ETL | Infrastructure as Code | Observability | PostgreSQL | Python | Relational Database | Relational Database Design | SQL | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
Cities
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