Sr. Dell Boomi Integration Specialist

Role- Sr. Dell Boomi Integration Specialist (5-7 Years Experience)

Mandate- This role is ideal for someone with a passion for integration technologies, a strong background in production support and experience in modern data platforms

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.