Senior Oracle Essbase & Databricks Data Engineer - Hybrid or Remote

Simple Solutions; Dallas (TX); Híbrido; USD 140 000 - 200 000; Tempo integral

Resumo da oferta

Simple Solutions is seeking a Senior Oracle Essbase & Databricks Data Engineer to lead the Essbase-to-Databricks migration initiative. The role focuses on Essbase data integration and migrating workloads to Databricks.

You will work with cross-functional teams, perform data integration tasks in Essbase, and oversee the transition to Databricks, ensuring scalable, high-performance data pipelines.

Qualificações

• 8–10+ years of experience with Oracle Essbase and data integration.
• Experience with partitioning BS0 and ASO cubes.
• Experience with data integration tools.
• Strong SQL and data analysis skills.
• Ability to work independently and collaborate with cross-functional teams.

Responsabilidades

• Lead Essbase data integration for migration to Databricks.
• Perform Essbase to Databricks migration following data integration.
• Partitioning and management of BS0/ASO cubes.
• Collaborate with cross-functional teams to deliver data pipelines.

Conhecimentos

SQL

Data analysis

Independent worker

Cross-functional collaboration

Ferramentas

Oracle Essbase

Databricks

ETL tools

Descrição da oferta de emprego

Senior Oracle Essbase & Databricks Data Engineer - Hybrid or Remote

Dallas or Remote, United States | Posted on 02/10/2026

Our client is seeking an Oracle/Essbase/Databricks Data Engineer expert. This is for Essbase‑to‑Databricks migration initiative.

The initial phase will involve data integration with Essbase, followed by the migration to Databricks.

The Senior Oracle Essbase & Databricks Data Engineer will start with data integration work in Essbase, followed by migration activities into Databricks.

Role involves Essbase data integration & replace some workloads that use Essbase and moving them to Databricks.

• 8-10+ years experience with Strong "hands-on" experience with Oracle Essbase
• Experience with partitioning BSO and ASO cubes
• Experience with data integration tools
• Strong SQL and data analysis skills
• Ability to work independently and collaborate with cross-functional teams