Data Engineer
USD 101K-136K Mid-level Full Time
Tasks
- Design and develop data pipelines in AWS and Snowflake
- Design and develop data views
- Design scalable dimensional and analytical data models
- Develop and maintain data quality checks and validation processes
- Develop and support data solutions using AWS services
- Establish testing for data assets
- Implement data pipelines and data models within architectural frameworks
- Provide data and system analysis for feature engineering
- Set up CI CD pipelines and source control integration
- Translate business requirements into scalable data solutions
- Troubleshoot and optimize distributed big data solutions
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | Agile Scrum | Amazon MSK | Amazon Redshift | Apache Spark | CDK | CI/CD | Cloud DW | CloudFormation | DBT | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Security | Data Transformations | Data Validation | Data Warehousing | Dimensional Modeling | EC2 | ETL | Encryption at rest | Encryption in Transit | Feature Engineering | GitHub | Kinesis | Lambda | Metadata Management | Python | Real Time | Real-time Data | Real-time Data Processing | S3 | SNS | SQL | SQS | Snowflake | Snowpipe | Source Control | Stored Procedures | Workflow Orchestration
Education
Roles
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