Senior Data Engineer
Tasks
- Build and maintain data lake and data warehouse solutions
- Build enterprise web system components
- Collaborate with cross functional teams across software development lifecycle
- Conduct code reviews
- Design data ingestion pipelines
- Identify and resolve performance issues
- Implement CI CD strategy for data platform
- Implement end-to-end data solutions
- Optimize performance and quality of data engineering projects
- Participate in architecture and system design discussions
- Perform hands-on development and unit testing
Perks/Benefits
- 401k retirement plan
- Employee assistance program
- Life and disability insurance
- Medical, dental & vision coverage
- Paid Holidays
- Paid time off
- Sick leave
Skills/Tech-stack
API Gateway | AWS API | AWS API Gateway | AWS CloudFormation | AWS Glue | AWS IAM | AWS KMS | AWS Lambda | AWS Serverless | AWS Step Functions | Amazon Athena | Amazon DynamoDB | Amazon EMR | Amazon Elasticsearch | Amazon Kinesis | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon SQS | Apache Spark | CI/CD | Data Ingestion | Data Ingestion Pipelines | Data Lakehouse | Data Lakehouse Architecture | ELT | ETL | Ingestion pipelines | Kafka | Lakehouse Architecture | Python | SQL | Shell Scripting | Step Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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