Mid/Senior Data Engineer
Tasks
- Apply DevOps best practices
- Assist data migration
- Automate workflows
- Build ETL infrastructure
- Collaborate effectively
- Create entity matching logic
- Design high performance data models
- Develop data pipelines
- Develop data transformation logic
- Document workflows
- Ensure data quality and performance
- Integrate third-party data
- Maintain data workflows
- Maintain project documentation
- Monitor pipeline performance
- Optimize data collection
- Orchestrate workflows with Airflow
- Prepare platform for AI integrations
- Work with relational and non-relational databases
- Write data processing code in Python
Perks/Benefits
Skills/Tech-stack
AI Search | API Gateway | AWS OpenSearch | Apache Airflow | Azure AI | Azure AI Search | Azure Databricks | CI/CD | DBT | Data Lake | Data Processing | Data Processing Frameworks | Data lake architectures | Data pipeline | Data pipeline design | Docker | Elasticsearch | FastAPI | Git | Kubernetes | Lake architectures | Object-Oriented | Object-oriented programming | Pipeline Design | Processing Frameworks | Python | Query Optimization | SQL | Snowflake | Version control
Education
Roles
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