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MuleSoft Enterprise Data Engineer #1646

Dallas, Texas · Information Technology
MuleSoft Enterprise Data Engineer
Full Time Opportunity
Location: North Dallas area (WFH flexibility)

Come join a winning and growing organization based in the North Dallas area.  As a MuleSoft Enterprise Data Engineer, you will be responsible for the development, implementation, production support, and performance tuning of the Enterprise Data Warehouse, Data Marts, and Business Intelligence Reporting environments. The company offers an attractive compensation package (base, bonus, 401k matching, ESOP, Tuition Reimbursement and more!) along with a comprehensive benefits package. Voted top 100 company to work for in the metroplex!!

  • Bachelor’s degree in Computer Science (or related area) preferred
  • At least 5 years of relevant experience, with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools
  • 5+ years of experience developing and/or supporting SQL databases preferably MS-SQL
  • 4+ years of experience developing dashboards and reports with a leading business intelligence and analytics platform like DOMO, Tableau or QLIK
  • 4+ years of experience Force.com (or similar platform)
  • 3+ years of experience in cloud environments like AWS
  • Experience developing custom features and solutions for ERP/CRM systems in similar roles, especially using Apex in Salesforce
  • Good experience converting legacy reporting platforms to dashboards and transforming manual processes to automated ones
  • Experience with API integration development
  • Understanding of relational and non-relational SQL
  • Familiarity with building real-time streaming data pipelines
  • Background in pub/sub modes like Kafka
  • Experience in building lambda, kappa, microservice and batch architecture
  • Knowledge of CI/CD processes and source control tools such as GitHub and related dev processes
  • Strong experience with MuleSoft and DataWeave
  • Experience with NetSuite and/or Salesforce Lightning is a major plus

  • Provide technical leadership towards architecting and delivering end to end solutions
  • Assist with the development of architectural strategies for data modeling, design and implementation for metadata management, operational data shores and Extract Transform Load (ETL) environments
  • Build out new API integrations to support continuing increase in data volume and complexity
  • Utilize the latest technology and information management methodologies to meet requirements for effective logical data modeling, metadata management and warehouse domains
  • Perform data analysis required to troubleshoot data related issues and assist to resolve issues
  • Create and test data models for a variety of business data, applications, database structures to meet operational or project goals
  • Work with business partners for prioritization, impact assessment, and resolution
  • Collaborate with other teams for multi-functional initiatives
  • Design and build reusable components, frameworks and libraries at scale to support analytics products
  • Devise and implement product features in collaboration with business and technology partners
  • Develop architecture and design patterns to process and store high volume data sets
  • Identify and tackle issues concerning data management to improve data quality
  • Collaborate on the implementation of new data management projects and re-structure of the current data architecture
  • Build continuous integration, test-driven development and production deployment frameworks
  • Tackle data issues and perform root cause analysis to proactively resolve product and operational issues

Genius Road, LLC is proud to be a Certified Women’s Business Enterprise, an Equal Opportunity Employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.

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