Comerit seeks multiple consultants for data migration projects involving SAP and AWS technologies. Roles include Data Engineer and Architect positions focusing on Analytics and BI.
This is a remote position.
Comerit is searching for multiple Data Engineer, Data Architect, Analytics, BI, and Reporting consultants.
Our current client is looking to increase their project team for their Release 2 data migration project, which includes cleansed data from legacy systems and moving it to SAP S4 in the cloud.
If you are an Analytics Cloud Architect, Engineer, or Data Warehouse expert please apply.
Requirements
Any one of the following skills will be necessary for this project:
- SAP S4/BW/BPC/IBP
- SAP Analytics Cloud
- SAP Data Warehouse Cloud
- SAP S/4HANA Cloud - BI Analytics and Embedded Analytics
- SAP Business Objects - Analytics
- AWS Certified Data Analytics – Specialty
- AWS data lakes and analytics services
- Data Architecture background with Strong understanding of SAP
- Knowledge of Amazon S3 Simple Storage Service
- Snowflake Data Management and Data Workloads
- Business Intelligence tools such as Tableau, Domo, Looker, MS SQL
- Salesforce and/or Workday Analytics
Similar Jobs
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, implement, and operate critical, scalable backend services (identity, friend graph, storage). Collaborate across teams, evaluate trade-offs, test and debug, manage availability, scalability, operational excellence, cost, and participate in incident resolution.
Top Skills:
AWSC++GCPJavaKotlinKubernetesMemcacheNoSQLPythonRedisSwift
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm insurance sales leads, consult with customers to match coverages, convert leads to policyholders, complete paid licensing and remote training, work scheduled shifts including weekends, and maintain required work-from-home technology and space.
Top Skills:
Dsl)FiberHigh-Speed Internet (CablePc
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills:
AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
