Senior Data Engineer
Tasks
- Break down problems into iterative steps
- Build data APIs
- Build modern data platform
- Collaborate to identify data requirements
- Create analytical and reporting marts
- Define squad backlog priorities
- Deliver solutions using agile
- Design data models
- Determine tools methods and design patterns
- Develop data pipelines
- Implement data integrations
- Maintain and document data platform
- Prepare data for use in APIs
- Provide guidance and training to data consumers
- Suggest improvements
- Support and manage platform components
Perks/Benefits
- N/A
Skills/Tech-stack
API Management | AWS Athena | AWS Glue | AWS Lake Formation | AWS Lambda | AWS Redshift | AWS SNS | AWS SQS | AWS Step Functions | Agile | Amazon QuickSight | Azure ASQ | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Analytics | Azure Functions | Azure Logic | Azure Logic Apps | Azure Synapse | Camunda | Cosmos DB | Data Factory | Data Lake | Data Lake Analytics | Data Modeling | Data Warehousing | ELT | ETL | Fivetran | Graph Databases | Java | Kafka | Lake Formation | Logic Apps | Neo4j | Neptune | NoSQL | Power BI | Python | RabbitMQ | SQL | SQL Server | SSAS | SSIS | SSRS | Scala | Snowflake | Step Functions | Stitch
Education
N/A
Roles
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