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!!
REQUIRED SKILLS
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
DAILY DUTIES
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.