Data Engineer (Data and Analytics Department)
Tasks
- Build and maintain data lakes
- Collaborate on AI/ML solutions
- Design end-to-end data processes
- Develop ETL pipelines
- Develop and maintain streaming analytics
- Implement data governance and compliance
- Perform data quality audits
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon Redshift | Amazon S3 | Apache Spark | Azure | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Synapse | Blob Storage | Data Factory | Data Governance | Data Lakes | Data Management | Data Mining | Data Modeling | Data Quality | Data Warehousing | ETL | Extract Transform Load | Java | LLM | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Python | R | Real Time | Real-time Streaming | SAS | Scala | Streaming Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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