Sr. Data Warehouse Engineer

Leeds Professional Resources

Miami (FL)

On-site

Full time

14 days+

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Job description

Senior Talent Acquisition Professional - Enriching Lives by Connecting Talent

Data Management/Data Warehouse Development

  • Overall architecture, development, and maintenance of production databases by working closely with the entire IS Technical teams.
  • Design, develop and support database objects required for reporting and integrations.
  • Design, develop and support extraction and integration processes (ETL).
  • Perform relational and multidimensional modeling and schema creation.
  • Perform data analysis and propose and ensure transformation covers all data possibilities including managing data anomalies.
  • Implement processes to ensure data quality in the database systems.
  • Focus on performance tuning, optimization and scalability to ensure efficiency in the data warehouse.
  • Troubleshoot and assist in resolving errors and performance issues including production support.
  • Work closely and coordinate activities with Technical Architects, Business Intelligence Architects, BI/Report Designers, Data Stewards, Database Developers, Database Administrators, QA and support staff throughout the full data warehouse life cycle.
  • Build and maintain strong peer relationships within the team and across the organization.
  • Design, develop and maintain our data warehouse environments by working closely with the Senior Manager, Big Data Architect. Maintain data warehousing environments to perform well, utilizing schema (Star/Dimensional vs. Snowflake) best practices when applicable.

EDUCATION & EXPERIENCE:

A four-year degree is required, preferably in Management Information Systems, Business or Computer Science. The following experience is required:

  • 3+ Years’ Experience working in AWS across many of the key platforms.
  • AWS Solutions Architect would be preferred. 3+ years of experience designing, architecting and deploying data repositories on AWS’ platforms – Redshift, S3 --- including MongoDB
  • Solid Database / Data Warehouse experience - Extraction, transformation and loading systems (Python Scripts) - Business Intelligence (BI) tools and platforms (Tableau, MicroStrategy, Power BI etc.) - Monitoring, Backup and Performance Management tools
  • Strong database development experience in a dynamic and complex data warehouse environment, 5+ years
  • Strong database management experience (Microsoft and/or AWS), 5+ years. Strong SQL experience, working with complex queries and ETL/ELT processes, 5+ years. 3+ years of experience in Cloud platforms, preferably on AWS in a production environment

OTHER QUALIFICATIONS:

  • Self-motivated
  • Ability to work independently and as a member of a team
  • Strong analytical skills
  • Team player with strong interpersonal skills
  • Excellent written and oral communication skills
  • Ability to identify problems and develop cost effective solutions
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering, Information Technology, and Supply Chain

Industries

Transportation, Logistics, Supply Chain and Storage and IT Services and IT Consulting

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