
SnapLogic Engineer
2 days ago
Description :
Key Responsibilities :
- Develop and optimize data pipelines for real-time and batch processing using Kafka, KSQL, JSON/XML.
- Integrate data across platforms including Salesforce, Marketo, SAP, Snowflake, Oracle, SQL Server.
- Collaborate with cross-functional teams to gather requirements and deliver integration solutions.
- Implement CI/CD pipelines for seamless code migration and deployment.
- Provide production support, troubleshoot issues, and ensure SLAs are met.
- Monitor system performance using tools like Splunk and DataDog.
- Mentor junior team members and conduct training sessions on SnapLogic best practices.
Required Skills :
- Cloud Platforms : AWS (S3, Redshift), Azure (Blob Storage, Synapse)
- Databases : Oracle, SQL Server, Snowflake
- Streaming Technologies : Kafka, KSQL
- Monitoring & Scheduling : Splunk, DataDog, Univiewer Console
- Programming & Scripting : JSON, XML, REST APIs
- Methodologies : Agile, Scrum
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