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Job Description

Design and deliver analytics-focused data solutions across warehouse, pipelines, and operations in a fully remote environment.

Responsibilities

  • Design database architecture and build data warehouses and data marts to support presentation-layer elastic cubes, reporting, and analytics
  • Develop and tune SQL using T-SQL or PL/pgSQL, including table development, stored procedures, and functions
  • Create indexes to improve performance for production workloads
  • Build and maintain ETL/ELT processes, including shared responsibility for monitoring data warehouses and data marts
  • Develop and support data pipelines using Airflow, AWS Glue, Azure Data Factory, Python, and Golang
  • Troubleshoot and resolve data issues in production systems
  • Collaborate with business users and project managers to address business problems and implement solutions
  • Apply technical experience to recommend improvements for existing and new problems
  • Coordinate with other IT departments, including systems communication processes
  • Participate in meetings with IT groups (other departments and computer operations staff) to address issues and concerns across business unit IT and technical operations groups
  • Mentor other Data Engineers
  • Identify software solutions needed for new project work
  • Provide weekly reporting to management on project status and issues
  • Support production with on-call duties

Requirements

  • 7+ years data warehousing / OLAP experience
  • 7+ years multidimensional database architecture and design experience
  • 5+ years SQL experience
  • 3+ years Python experience
  • 2+ years Redshift experience
  • 2+ years NoSQL experience
  • Team and vendor partner management experience
  • Clear understanding of principles and techniques of Web development
  • Experience with AWS Glue and Airflow
  • Experience with API
  • Dimensional database architecture experience
  • Formal systems life cycle methodology experience

Technologies

  • tsql, psql
  • Airflow, AWS Glue
  • Azure Data factory
  • Python, Golang
  • Azure, AWS, GCP
  • Redshift

Desired Qualifications

  • Cloud Data Warehouse operations experience
  • Tableau, SSRS, big data, and Realtime BI experience
  • Experience with data streaming

Location

  • Orlando, FL (remote)
  • Fully remote: contribute from a non-Versant worksite, most commonly an employee’s residence

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