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Hi Team,

Greetings!!!!

This is Yatika from SAGE IT Inc. Kindly share relevant resumes for below role.

Role- Sr. Dell Boomi Integration Specialist

Location: Remote

Contract role

Client: HCL

USC/GC would not work

Only share candidates who are comfortable sharing PP number!!!

Job Description:

We are seeking a highly skilled Integration Specialist with 5-7 years of experience in building and supporting real-time integrations using Boomi’s iPaaS solution. The ideal candidate should have a strong background in production support, a deep understanding of AWS, Boomi Administration, and hands-on experience with Snowflake/Databricks.

Key Responsibilities:

Boomi Integrations (Must Have):

• Design, build, and maintain real-time integrations using Boomi.
• Develop and support Boomi processes, manage and deploy APIs, and utilize Boomi’s iPaaS features effectively.
• Integrate Boomi with key enterprise systems such as Oracle Fusion, Salesforce, Workday, ServiceNow, and other SaaS applications.
• Ensure seamless data exchange and synchronization across platforms, adhering to best practices in system integration.
• Leverage common frameworks such as message queuing, caching, API management, and complex mapping.
• Utilize scripting languages like JavaScript and Groovy for advanced integrations.
• Utilize/Build REST/SOAP APIs, working with various data formats including XML, JSON, and CSV.
• Handle complex scenarios involving SOAP, REST, XML, XSLT, WSDL, XSD, and JSON technologies.
• Implement robust authentication mechanisms (OAuth, SAML, etc.) to ensure secure integration between systems.
• Understand the importance of Data Security, Data Retention, using PGP encryption/Decryption.

Boomi Administration (Nice to Have):

• Administer Boomi Atmosphere, including build, deployment, and management of integrations.
• Ensure smooth deployment across all environments, handling all aspects of Boomi components and functions.

AWS, Snowflake, and Databricks:

• Utilize AWS services to support integration processes.
• Work with Snowflake and Databricks for data storage, analysis, and processing.
• Manage data pipelines and ensure data consistency across platforms.

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