OBIEE BI Engineer

Jobs via Dice • United State
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AI Summary

We are seeking an OBIEE BI Engineer to design, develop, and implement business solutions in OBIEE/OAS and Power BI. The ideal candidate will have experience in reporting tools, data warehouses, and ETL data engineering. Strong understanding of dimensional modeling and semantic layer design is required.

Key Highlights
Design and implement business solutions in OBIEE/OAS and Power BI
Experience in reporting tools, data warehouses, and ETL data engineering
Strong understanding of dimensional modeling and semantic layer design
Key Responsibilities
Design, develop, and implement business solutions in OBIEE/OAS and Power BI
Develop reports and dashboards using OBIEE/OAS and Power BI
Work with data warehouses: Snowflake and Exadata
Technical Skills Required
OBIEE OAS ETL PL/SQL Power BI Snowflake Exadata Python
Benefits & Perks
Hybrid work arrangement
Relocation is fine
Nice to Have
Familiarity with Python

Job Description


Dice is the leading career destination for tech experts at every stage of their careers. Our client, EA Team, Inc., is seeking the following. Apply via Dice today!

Role: OBIEE BI Engineer

Location: Westlake TX (Hybrid work alternate weeks) relocation is fine

MUST HAVE: OBIEE, OAS, ETL, PL/SQL.

NOT looking for an ETL developer with some OBIEE. Need an OBIEE dev with some sort of ETL experience. Please do not send Data Engineer heavy candidates.

Job Description:

  • Good Number Of years in BI Engineering / Analytics Engineering / Data Analytics role.
  • Experience in Reporting tools such as OBIEE/OAS and Power BI
  • Experience in designing, developing, and implementing business solutions in OBIEE/OAS and Power BI
  • Hands-on experience in report and dashboard development using OBIEE/OAS and Power BI.
  • Experience with data warehouses: Snowflake and Exadata
  • Hands on experience as an ETL data engineer and as a report developer
  • Experience in writing complex queries, Pl-Sql function and ETL.
  • Experience in advanced SQL (CTEs, window functions, performance tuning, explain plans).
  • Solid understanding of dimensional modeling and semantic layer design.
  • Experience in Power BI: DAX, Power Query (M), modeling, visualization & deployment pipelines.
  • Familiarity with Python.

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