Data Engineer
Tasks
- Build and maintain data workflows
- Collaborate with stakeholders
- Communicate with team and clients
- Contribute to platform improvements
- Design data pipelines
- Develop Python code for data transformation
- Develop SQL queries
- Ensure data quality
- Identify risks and propose mitigation
- Implement data models
- Monitor data pipelines
- Participate in planning and prioritization
- Support and mentor team members
- Translate requirements into technical solutions
- Troubleshoot failures
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Cloud Platforms | Containerization | Cost-effective data formats | Data Formats | Data Governance | Data Lake | Data Modeling | Data Pipelines | Data Quality | Data Security | Data Transformation | Databricks | ELT | ETL | Git | Kubernetes | ORC | Parquet | Python | SQL | Version control
Education
N/A
Roles
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