Boomi + MDH(Master Data Hub) PAN INDIA

6 days ago

Bengaluru Hyderabad Pune, India Career Network Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Hiring for Boomi Developer with MDH(Master Data Hub)

Experiences : 5+ Yrs

Location : PAN INDIA

Job Description:

  • Boomi Resource Requirement Hands on design development deployment and maintenance of integration processes between applications across the cloud and or on premise using the Dell Boomi Atmosphere platform Cloud Integration Application Integration and Enterprise web services APIs
  • Managing Monitoring Sustaining Troubleshooting and supporting existing EAI Integrations and Dell Boomi Atmosphere platform
  • Build Service Oriented and discoverable Web services and APIs
  • Collaborate with various cross functional teams to define and determine integration requirements
  • Provide development and technical subject matter expertise to ensure development activities are aligned with scope schedule priority and business objectives
  • Responsible for establishing best practices in services development integration of applications and governing detailed designs
  • Monitors and reports on progress in completing projects and accomplishing goals
  • Excellent and efficient SQL query and stored procedure writing skills
  • Good understanding of cloud architecture and DevOps
  • Interface with both internal external technical experts to drive system solutions
  • Conducts end user interviews to understand and document data issues and define integrity requirements
  • Able to map dataflows across many systems with clarity and accuracy
  • Able to work effectively on digital and cloud projects with solid agile practices adhering to lean principles
  • Provide support to resolve any production issues ADO SNOW experience added advantages
  • Sound knowledge of building P2P and API based scalable Integrations in Boomi
  • Extensive knowledge of Data Modelling in MDH using fields
  • Sound knowledge of implementing Data Quality Steps in MDH models and understanding the existing Model structure
  • Implementation knowledge of tagging rules used to distribute the Golden records for different systems
  • Data Stewardship responsibilities of managing and resolving the quarantined items merging of duplicate errors address data validation errors
  • Establishing update ranking by source on the models at field level
  • Working knowledge of data load activities primarily required for go live activities
  • Working knowledge of SQL primarily to query the databases for analysis and integration requirements in an optimized way

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