• Location: Lake Mary, Florida
  • Date Posted: 31st Jul, 2019
  • Reference: Dat.Eng.Manager.

Job Description

The Data Engineering Manager is responsible for working closely with various departments and IT team members to understand business requirements that drive the analysis and design of the technical solutions. The ideal candidate will have experience in reporting development with SSRS, development experience with SSIS for development of ETL, data wrangling skills as well as multidimensional models at an enterprise level.

Role & Responsibilities

  • Involved in the full development life cycle and is responsible for designing, coding, testing, implementing, maintaining and supporting data, data processing and data analytics software that is delivered on time and within

  • Design, architect, build and lead the implementation of the data strategy for this company's data platforms.

  • Participate in component and data architecture design, performance monitoring, product evaluation and buy versus build

  • Experience in leading data analysis, design and a solid understanding of development, quality assurance and integration

  • Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest

  • Well versed in ETL concepts to take the transactional data from internal systems, external partners or other data sources to derive analytical models, reporting and/or graphical

  • Excellent T-SQL skills with experience developing data marts and data warehouses.

  • Follows company policies and procedures and conducts annual performance reviews in a timely

  • Respects and maintains HIPAA confidentiality

Skills & Qualifications

  • Bachelor's Degree in related field preferred.

  • Excellent analytical skills.

  • Reporting development experience with SQL Server Reporting Services (SSRS) to produce graphical and tabular results of the data.

  • Development experience with SQL Server Integration Services (SSIS) for development of ETL and Integration needs to get the data from and to heterogeneous sources/destinations for consumption.

  • Data wrangling Skills as well as multidimensional models at an Enterprise level