Data Engineer – Mid & Senior
Tasks
- Build optimize data warehouses
- Collaborate with DevOps CI/CD
- Design develop deploy Python ETL pipelines
- Ensure data quality validation cleansing
- Implement data governance security observability
- Migrate transform structured semi-structured unstructured data
- Model AI schemas
- Optimize pipeline performance
- Perform code reviews
- Work with streaming architectures
Perks/Benefits
- B2B contract up to $7,800/month
- Career growth opportunities
- Friendly team culture
- High-impact projects
- Hybrid work model
Skills/Tech-stack
AWS Lambda | Airflow | CI/CD | Cloud Architecture | Cloud Data | Cloud Data Platforms | DBT | Data Pipelines | Data Processing | Data Warehousing | Data platforms | Databricks | Deployment Automation | Dimensional Modeling | Distributed data | Distributed data processing | Docker | Kubernetes | Messaging Systems | OLAP | Pandas | Prefect | PySpark | Python | RDS | Redshift | SQL | Snowflake | Step Functions | Streaming Architectures | Version control
Education
N/A
Roles
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