Ingeniero de Datos Azure Proficient
Tasks
- Build incremental data loads
- Clean transform and enrich data
- Create views functions and stored procedures
- Define operational and strategic metrics
- Design and optimize relational database schemas
- Design data integration pipelines
- Develop Databricks notebooks in Python and SQL
- Gather business requirements
- Implement ETL/ELT processes
- Implement data governance and data quality standards
- Integrate on-premise and cloud data sources
- Maintain technical documentation and data catalogs
- Manage Delta Lake and Lakehouse architectures
- Model analytical data
- Monitor troubleshoot and optimize data processing
- Orchestrate and automate data integration processes
- Translate business needs into scalable technical solutions
- Use Apache Spark for distributed processing
- Write advanced PostgreSQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Delta Lake | Docker | ELT | ETL | Git | GitHub | Kubernetes | Lakehouse | Microsoft Fabric | MongoDB | PostgreSQL | Power BI | PySpark | SQL | Snowflake | Spark SQL | Synapse Analytics | Terraform
Education
N/A
Roles
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