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$100k + 5% bonus + relo | SSIS/ETL Engineer | Nashville in Brentwood, TN at Vaco

Date Posted: 7/12/2018

Job Snapshot

Job Description

  • Analyze business needs to produce data warehouse/business intelligence solutions in support strategy.
  • Produce quality & timely deliverables as part of data warehouse project team(s).
  • Design and develop Data Warehouse ETL processes in SSIS & SQL Stored Procedures.
  • Design and develop Reports from Data Warehouse using SSRS & SQL Stored Procedures.
  • Perform peer reviews and take ownership to ensure quality of data in data warehouse.
  • Become expert in very short time in existing BI solutions to troubleshoot and correct issues.
  • Efficiently work in an Agile environment - both Sprint and KanBan.
  • Production support on a rotating basis.
  • Contribute to build team knowledge base
  • Able to take additional responsibility over time to perform design and development of Data Warehouse database schema(s) & structures.
  • Able to take additional responsibility over time to perform design and development of Data Warehouse Cubes - Dimensional, Tabular, Relational, and Multidimensional OLAP cubes.

Job Requirements

Analyze business needs to produce data warehouse/business intelligence solutions in support of naviHealth’s BI strategy.
Produce quality & timely deliverables as part of data warehouse project team(s).
Design and develop Data Warehouse ETL processes in SSIS & SQL Stored Procedures.
Design and develop Reports from Data Warehouse using SSRS & SQL Stored Procedures.
Perform peer reviews and take ownership to ensure quality of data in data warehouse.
Become expert in very short time in existing BI solutions to troubleshoot and correct issues.
Efficiently work in an Agile environment – both Sprint and KanBan.
Production support on a rotating basis.
Contribute to build team knowledge base
Able to take additional responsibility over time to perform design and development of Data Warehouse database schema(s) & structures.
Able to take additional responsibility over time to perform design and development of Data Warehouse Cubes – Dimensional, Tabular, Relational, and Multidimensional OLAP cubes.