Data Engineering
Tasks
- Architect data lake solutions
- Automate data delivery
- Build SQL based extraction transformation loading
- Build data pipelines
- Build messaging based ingestion
- Create analytics tools
- Create data pipeline frameworks
- Design enterprise data solutions
- Develop proof of concepts
- Implement ETL processes
- Improve scalability through infrastructure redesign
- Ingest real-time data
- Model data for analytics
- Operationalize data pipelines
- Secure data across AWS regions
- Support stakeholders with data issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon DynamoDB | Amazon EMR | Amazon Kinesis | Amazon Redshift | Apache Spark | Data Architecture | Data Lake | Data Modeling | Data Processing | ETL | Kafka | Messaging Systems | MongoDB | NoSQL | Proof of Concept | Real Time | Real-time Data | Real-time Data Processing | SQL
Education
N/A
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