Boomi Integration & Boomi Tech Lead

Solutions Architecture Advisor (Boomi Tech Lead )
Integration Expertise: A deep understanding of integration concepts, patterns, and best practices is essential. You should be comfortable working with various integration technologies and protocols.
Boomi Platform Knowledge: Proficiency in Dell Boomi is crucial. Familiarize yourself with Boomi components such as connectors, processes, maps, and APIs. Understand how to design, build, and deploy integrations using Boomi.
API Development: Strong knowledge of RESTful and SOAP APIs. You’ll create, consume, and manage APIs within Boomi.
Data Transformation: Ability to transform data between different formats (XML, JSON, flat files) using Boomi’s mapping capabilities.
Cloud Experience: Have experience in Azure & GCP integration with cloud services.
Troubleshooting Skills: Be adept at diagnosing and resolving integration issues. Familiarity with Boomi’s debugging tools is valuable.
Business Acumen: Understand the business context behind integration projects. Effective communication with stakeholders is crucial.
Security Awareness: Knowledge of authentication methods, encryption, and secure data transmission.
Soft Skills: Excellent problem-solving, teamwork, and communication skills. Adaptability and a willingness to learn are essential in this dynamic field.

Qualifications:
8+ years of experience in data integration design and development, especially the significant experience on Boomi platform and Biztalk.
Experience and knowledge of APIs, Web Services, SOA, ESB, ETL concepts and tools
Experience designing and developing SOAP and REST based web service
SQL language proficiency with at least one of the common database platforms such as SQL Server, Oracle, MySQL, and/or DB2 database management systems.
Excellent programming skills in writing Complex Stored Procedures, Queries, Views, User Defined Functions, Cursors and Common Table Expressions using SQL or T-SQL
Experience working with cloud/on-prem and hybrid cloud solutions
Define version control procedures and assist in managing all environments and code releases on each.
Studying data sources by interviewing users; defining, analyzing, and validating data objects; identifying the relationship among data objects
Understanding of data quality concepts, best practices, and tools, with strong experience with data analysis techniques