AWS Data Engineer
Tasks
- Apply change data capture concepts
- Apply version control CI CD and code reviews
- Automate deployments with CodeCommit CodePipeline
- Build infrastructure as code with AWS CDK
- Conduct gap analysis between source staging and target models
- Create dimensional data models
- Design and build data transformation pipelines
- Develop data architecture and standards
- Ensure data quality governance and operational readiness
- Maintain analytics codebase
- Optimize SQL queries performance and scalability
- Own DBT data modeling
- Perform data profiling and validation
- Tune SQL using partitioning clustering and materialized views
Perks/Benefits
Skills/Tech-stack
AWS | AWS CDK | AWS CodeCommit | AWS CodePipeline | AWS Glue | AWS Lambda | AWS Step Functions | Agile | Amazon Redshift | CI/CD | Clustering | DBT | Data Governance | Data Modeling | Data Quality | Data Warehousing | Dimensional Modeling | Jinja | MWAA | Materialized views | Partitioning | Performance Tuning | PySpark | Python | SQL | SQL Performance | SQL Performance Tuning | Step Functions | Version control
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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