Senior Data Pipeline Developer
Tasks
- Break down complex problems
- Build analytical and reporting marts
- Build data APIs
- Build data integrations
- Build data models
- Build data pipelines
- Choose tools and design patterns
- Comply with company policies
- Define squad backlog priorities
- Document and maintain data platform
- Expose data through APIs
- Guide data consumers on best practices
- Identify and suggest improvements
- Prepare data
- Support agile development
- Support and manage data platform
Perks/Benefits
Skills/Tech-stack
API Development | API Integration | API Management | AWS Glue | AWS Lake Formation | AWS Lambda | AWS Redshift | AWS SNS | AWS SQS | AWS Step Functions | Agile | Amazon QuickSight | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Functions | Azure Logic | Azure Logic Apps | Azure Synapse | Camunda | Cosmos DB | Data Factory | Data Lake | Data Lakes | Data Modeling | Data Warehousing | ELT | ETL | Fivetran | Graph Databases | Java | Kafka | Lake Formation | Logic Apps | Messaging | Neo4j | NoSQL | Power BI | PowerPoint | Python | RabbitMQ | SQL | SQL Server | SSAS | SSIS | SSRS | Scala | Snowflake | Step Functions | Stitch
Education
N/A
Roles
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