Responsibilities and Duties

  • Design, build, test and deploy technical solutions to support data management,
  • Work with Data Analysts, Data Architect, business and technical partners to understand solution needs and requirements,
  • Develop technical specifications and designs,
  • Create analytics solutions including reports, dashboards, tables and files for business partners,
  • Support data quality, governance and stewardship best practices,
  • Help manage enterprise data environments and deployments,
  • Work closely with Data Analysts, Architect and Data Management leadership to ensure data lifecycle conforms to data management best practices,
  • Liaison with QA and user to support solution testing,
  • Perform analytics activities (SQL scripting, Tableau, reporting, etc.) as needed

Role Competencies

  • Expert level SQL knowledge, (critical)
  • Expert Python knowledge, (critical)
  • Knowledge of Cloud data management principles and tools, (AWS/Redshift)
  • Reporting and dashboard tool knowledge a plus
  • Solution integration (ETL/ELT) understanding and tools experience
  • Database development understanding,
  • Strong analytical and problem solve capabilities,
  • Strong understanding of data management principles
  • Machine Learning experience (a plus)
  • Use of coding languages such as Python and R in creating software solutions to support the data lifecycle and analytics solutions.


  • 5+ yrs experience working with SQL
  • 5+ yrs database development
  • 5+ yrs system integration experience
  • 2+ yrs experience working with Python
  • 2+ yrs cloud-based development
  • 2+ yrs analytics solutions development (Tableau, SRS, Qlik, etc.)
  • Experience with data management principles (quality, MDM, Metadata mgmt, governance, etc.)

Must Have


  1. 5+ yrs working with SQL
  2. 5+ yrs of database development
  3. Knowledge of Cloud data management principles and tools, (AWS/Redshift)

Job ID: 4184

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