Comerit is searching for a Manager of Data Engineering and Analytics to lead our clients growingteam of data and analytics engineers. You will be responsible for defining andmanaging a longterm vision and portfolio of initiatives to improve thecustomer experience and business results through creating worldclass datainfrastructure and enabling datadriven analytics. This includes establishing standards andoptimizing our data engineering data flow and data collection for cross functionalteams.
The ideal candidate is an experienced data pipeline builder and datawrangler who enjoys optimizing data systems and building them from the groundup. This candidate also demonstratesskills in working with multiple business areas and can analyze their datarequirements in a harmonious way to optimize both the data landscape as well asthe analytics around it.
TheManager Data Engineering and Analytics will support our clients Enterprise DataArchitect and lead a team of Data Engineers and BI Analysts on data initiativesand will ensure optimal data delivery architecture is consistent throughoutongoing projects. They must be selfdirected and proficient at supporting thedata needs of multiple teams systems and products. The right candidate willbe excited by the prospect of optimizing or even redesigning our companysreporting and analytics infrastructure to support our next generation ofproducts and data initiatives.
This person will:
- Collaborate on thecreation and maintenance of optimal data pipeline architectures
- Identifydesign and implement internal process improvements: automating manualprocesses optimizing data delivery redesigning infrastructure for greaterscalability etc.
- Work with peersto build the infrastructure required for optimal extraction transformationand loading of data from a wide variety of data sources using SQL and AWS bigdata technologies
- Lead a team to assemble largecomplex data sets that meet functional / nonfunctional business requirements
- Build analyticstools that utilize the data pipeline to provide actionable insights intocustomer acquisition operational efficiency and other key businessperformance metrics
- May also becalled on to perform tasks related to Data Engineering and setting up analyticsenvironment
- Work with stakeholdersincluding the Executive teams to assist with datarelated technical issues andsupport their data infrastructure needs
- Keep our clients dataseparated and secure across national boundaries through multiple data centersand AWS regions
- Work with dataand analytics experts to strive for greater functionality in our data systems.
- Analyzevalidate prioritize and provide cost estimates for service requests andproject work
- Develop andmaintain an analytics roadmap in conjunction with the overall Data Architectureroadmap
- Work withproject managers to develop project plans and manage to the plans
- Develop andpublish standards that govern the data engineering and analytics domain.
- Establishservice delivery metrics for service requests and project work.
- Perform career management functions for the dataanalytics team including establishing annual goals and development plansannual reviews and compensation planning.
Requirements
Experience withAWS S3 Sagemaker Step Functions and other AWS toolsets
Experience withMicrosoft SQL Server
Experience withBoomi or other IPaaS tools
Experience withExtract Transform and Load (ETL) methodologies and tools
Experience withPython or R scripting.
Knowledge of SAP and SAP data structurespreferred or similar ERP tools.
Abilityto manage multiple projects
Work with upper management
Required Experience:
Manager