Data Engineer
Tasks
- Advise on data standards and best practices
- Contribute to training and capability development
- Design data architectures and pipelines
- Develop ETL and data lake pipelines
- Develop data products for analytics
- Develop data products for machine learning
- Drive continuous improvement in analytical data engineering
- Evaluate emerging data engineering tools
- Mentor data and analytics professionals
- Optimize and maintain data architectures
- Prepare data architecture and pipeline artifacts
- Solve complex data engineering challenges
- Support reuse across squads
Perks/Benefits
Skills/Tech-stack
Applied Mathematics | Azure Data | Azure Data Factory | Azure Databricks | Azure Event | Azure Event Hubs | Azure Machine Learning | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Governance | Data Lake | Data Modeling | Data Warehousing | Databricks | Dimensional Modeling | ETL | Event Hubs | Machine Learning | MapReduce | NoSQL | PySpark | Python | Relational databases | Reporting | SQL | Scala | Shell Scripting | Spark | Statistics | Synapse Analytics | Unix
Education
Roles
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