Sr. Data Engineer

About the job

Do you have hands-on experience with data engineering, and data architecting? Are you familiar with metadata management and associated processes? We’re looking for an expert communicator with a strong customer orientation and object-oriented programming experience to join our Corporate Technology and Security Engineering team as a Senior Data Engineer. In this role, you’ll design, develop and implement data models, ETL pipelines and warehouses for our internal applications and system. Additionally, you will provide architectural assessments, strategies and roadmaps; verify performance, fault tolerance and security. If you’re craving an exciting new opportunity where you can partner with project managers and other business leaders to facilitate projects that make good use of your data insights, let’s chat!

CIMS is a high-growth Software-as-a-Service (SaaS) company. We are the industry's premier recruitment software provider, delivering technology that supports more than 3,500 contracted customers around the globe. Committed to both growth and stability, we have a lot of opportunities for career advancement within our organization. Come grow with us—apply today!

iCIMS is a high-growth Software-as-a-Service (SaaS) company headquartered in Holmdel, NJ. We are the industry’s #1 recruitment software provider, delivering technology that supports approximately 4,000 contracted customers around the globe. Dedicated to maintaining an inclusive, inspirational and innovative work environment, and committed to our consistent growth, we have a wide range of opportunity for career advancement within our organization. Come grow with us—apply today!

• Develops and delivers long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. Creates short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
• Establishes methods and procedures for tracking data quality, completeness, redundancy, and improvement.
• Creates strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
• Design, Develop and Support ETL pipelines
• Oversees the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
• Collaborates with project managers and business unit leaders for all projects involving CRM and downstream data.
• Addresses data-related problems in regards to systems integration, compatibility, and multiple-platform integration.
• key components as needed to create testing criteria in order to guarantee the fidelity and performance of data analytics solutions.
• Implements data management processes, procedures, and decision support.
• Optimize and monitor data pipelines feeding data stores or repositories.
• Work with data governance, customer success and product reporting teams to build out advanced analytics and reporting dashboards leveraging tools such as tableau, kibana, etc.
• Research emerging trends and best of breed solutions for data modeling, data contextualization, and predictive analytics.
• Proficient understanding of distributed computing principles.

• A minimum of 5 years relevant experience.
• Hands-on knowledge of data modeling, data profiling or data parsing.
• Experience in Azure Data Warehousing, Azure Data Factory, SSIS, SSAS, ETL
• Familiarity with metadata management and associated processes.
• Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Experience with data processing flowcharting techniques.
• Ability to manage data and metadata migration.
• Programming experience with Python
• Expert in writing SQL and Stored Procedures
• Experience in SFDC, NetSuite, Adaptive , Concur APIs highly desirable.
• Knowledge of AWS, GCP and Big Data, Red Shift is desirable
• Experience with integration platforms such as workato is a plus
• Excellent client/user interaction skills to determine requirements.
• Strong customer orientation focus and success in creating a superior customer experience.
• Good knowledge of applicable data privacy practices and laws.
• Understanding of Web services (SOAP, XML, UDDI, WSDL)
• Experience in defining, classifying, and, maintenance of MDM across an evolving set of SaaS interfaces.