Senior Associate - Data Engineer (AWS Lakehouse, Analytics Engineering & Reporting)
Tasks
- Apply security by design and vulnerability management
- Build DBT transformation models
- Build secure data storage with Amazon S3
- Create dimensional star schema data models
- Design Data Lakehouse architectures
- Develop Amazon QuickSight dashboards
- Develop data ingestion and ETL ELT pipelines
- Implement data governance and metadata management
- Implement data quality frameworks and monitoring
- Implement medallion architecture
- Manage infrastructure as code deployments
- Optimize reporting performance
- Orchestrate batch and streaming processing
- Set up CI CD pipelines for data engineering
Perks/Benefits
Skills/Tech-stack
AWS DataZone | AWS Glue | AWS Glue Data Catalog | AWS KMS | AWS Lake Formation | AWS Lambda | AWS MWAA | AWS Step Functions | Amazon Bedrock | Amazon CloudWatch | Amazon EMR | Amazon Glue | Amazon IAM | Amazon Kinesis | Amazon MSK | Amazon QuickSight | Amazon Redshift | Amazon S3 | Amazon SageMaker | Apache Airflow | Apache Iceberg | Apache Spark | CI/CD | DBT | Data Catalog | Docker | Git | GitLab CI | GitLab CI/CD | Glue Data Catalog | Grafana | Great Expectations | Lake Formation | Linux | OpenLineage | OpenMetadata | Prometheus | PySpark | Spark SQL | Step Functions | Terraform
Roles
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