Senior Data Engineer
Tasks
- Automate data workflows
- Build and maintain ETL/ELT pipelines
- Collaborate with engineering teams on data requirements
- Conduct code reviews
- Design scalable data architectures schemas and models
- Harvest dataset metadata
- Implement data traceability and lineage
- Ingest transform and load data into data lake
- Monitor pipelines and data quality
- Optimize pipeline performance and reliability
- Troubleshoot pipeline failures and data anomalies
- Write pipeline and system documentation
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Redshift | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Synapse Analytics | CI/CD | Cloud | Cloud platform | Data Architecture | Data Lake Storage | Data Lineage | Data Modeling | Data Pipelines | Data Quality | ELT | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Metadata Management | Microsoft Azure | Microsoft Azure Synapse | Microsoft Azure Synapse Analytics | MySQL | PostgreSQL | Python | SQL | SQL Server | Semantic Modeling | Synapse Analytics
Education
Roles
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