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Manager Data Engineering

Manager Data Engineering
NJ, Moonachie

Job Description

Title: Manager Data Engineering

Type: Perm opportunity

Location: Moonachie, New Jersey (Currently remote but post pandemic, 2-3 days onsite per week)

Must Have: Data warehouse, Cloud, BI stack, Management exp and ETL

“US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time”

Role Description:


The position plays a focal lead role in planning, evaluating, and selecting the right data analytics capabilities for the enterprise. As part of a highly collaborative team, the role will interact with many technical and business resources across the enterprise. The ideal candidate is a committed, creative, self-motivated technologist who is interested in practicing his or her skills and learning new ones.

Primary Duties and Responsibilities

  • Manage and oversee in-house, contract/remote developers
  • Architect, design and build enterprise analytics platform incrementally
  • Provide technical leadership by implementing modeling and programming standards
  • Translate requirements from business analysts and customers to value added reports, dashboards, KPIs and self service
  • models.
  • Support the future direction of business intelligence within the organization and identify areas of functionality
  • that can be delivered to the business.
  • Modernize product end-user and integration points
  • Educate and guide business in best practices
  • Support deployed platforms in production
  • Ensure that process and knowledge is systematically documented
  • Complete other tasks as required
  • Provide 24x7 on-call support, after hours and weekend work as needed

Experience, Education and Skills

  • 5+ years of hands-on management of technical team members
  • 3+ years managing vendors and contractors, timesheet approvals, contract SLAs and KPIs
  • 8+ years' experience in MS BI stack - SQL Server, PDW, SSIS, SSAS
  • 5+ years' experience in architecture and design of Data warehouse, highly scalable ETL process and analytics
  • platform
  • 2+ years' experience in NoSQL, Azure or AWS
  • Strong Azure SQL Data warehouse, Azure Analysis services and Azure Data lake experience
  • Experience setting On-Premise data gateways
  • Strong experience modeling Relational, Dimensional and unstructured data
  • Deep Experience in building highly scalable ETL process with complex data transformations from disparate
  • applications including CDC and error handling.
  • Ability to communicate and execute new concepts, ideas, techniques, best practices and technology in the
  • Reporting, Data Analysis, Data Modeling, Data Warehousing, and ETL space
  • Experience with TFS and Git
  • Experience with agile methodologies: SCRUM
  • Bachelor's degree from an accredited institution or equivalent industry experience

General Requirements

  • Manage, lead and mentor a team of highly technical resources
  • Exhibit and practice courteous, ethical and professional behavior while interacting with both internal and external
  • customers
  • Act in a collaborative, team-oriented environment focused on common goals to achieve mutually beneficial results
  • Be accountable and responsible for the accuracy and completeness of assigned work and results
  • Prioritize and manage work load and communicate issues clearly
  • Exhibit effective verbal and written communication skills
  • Comply with all laws, regulations and company policies
  • Travel when required



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