Data Engineer
Tasks
- Break down problems into iterative steps
- Build analytical and reporting marts
- Build data integrations
- Build data pipelines
- Deliver data engineering work in agile squads
- Design data models
- Determine tools methods and design patterns
- Document support manage and maintain data platform
- Identify data requirements
- Prepare data
- Prioritize squad backlog
- Propose improvements
- Provide guidance and training to data consumers
- Support and build data APIs
- Support data platform evangelism and education
- Surface data for API use
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Athena | AWS Glue | AWS Lake Formation | AWS Lambda | AWS SNS | AWS SQS | AWS Step Functions | Agile | Airflow | Amazon QuickSight | Azure ASQ | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Analytics | Azure Functions | Azure Logic | Azure Logic Apps | CI/CD | DBT | Data Factory | Data Lake | Data Lake Analytics | Databricks | ELT | ETL | Git | Java | Kafka | Lake Formation | Logic Apps | Mode | Power BI | Python | RabbitMQ | SQL | Scala | Snowflake | Step Functions
Education
N/A
Roles
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