Senior AWS Data Engineer
Tasks
- Architect data lakes and data warehouses
- Build and maintain AWS data pipelines
- Build streaming data solutions
- Create and maintain data models
- Design data pipeline architecture
- Develop data ingestion pipelines
- Implement CI/CD strategies
- Implement ETL/ELT processes
- Implement serverless data applications
- Migrate data to AWS data platforms
- Monitor and optimize pipeline performance
- Perform unit testing and code reviews
- Reduce cost improve reliability and scalability
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS API | AWS API Gateway | AWS CloudFormation | AWS EMR | AWS Glue | AWS IAM | AWS KMS | AWS Lambda | AWS Secrets | AWS Secrets Manager | AWS Step Functions | Amazon Athena | Amazon Aurora | Amazon DynamoDB | Amazon Kinesis | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon SQS | Amazon Web Services | Apache Kafka | Apache Spark | CI/CD | Code review | Data Ingestion | Data Lakes | Data Modeling | Data Warehousing | ELT | ETL | Python | SQL | Secrets Manager | Serverless architecture | Shell Scripting | Step Functions | Unit Testing | Web Services
Education
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