Global Applications Solutions

Global Applications Solutions

Lead Data Engineer

Houston, Texas, USA · Contract

Sponsorship not specifiedDetected 57 days ago
Data StructuresSQLSnowflakeDatabricksAzureCloud PlatformsCI/CDDevOpsSparkData EngineeringData VisualizationCybersecurityAgileStakeholder ManagementSupply ChainProcurementERPRecruitingCommunicationProblem Solving

About the role

  • Job Overview We are seeking an experienced Senior Data Engineer / Data Analyst with strong expertise in Databricks and Oracle ERP EBS/Fusion to support enterprise data and analytics initiatives. The ideal candidate will be responsible for designing scalable data solutions, integrating ERP data, developing reporting and analytics capabilities, and supporting
  • business-critical data transformation projects. This role requires strong technical expertise in modern data engineering technologies along with hands-on experience working with Oracle ERP systems in enterprise environments. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL Integrate and process

Requirements

  • This role requires strong technical expertise in modern data engineering technologies along with hands-on experience working with Oracle ERP systems in enterprise environments.
  • Required Skills & Qualifications Data Engineering Strong hands-on experience with:
  • Databricks PySpark Spark SQL Delta Lake Strong experience building large-scale ETL/ELT pipelines Advanced SQL development and query optimization skills Experience with data warehousing concepts and dimensional modeling

Nice to have

  • Oracle EBS Oracle Fusion ERP Experience working with Oracle ERP data structures, APIs, and integrations Understanding of Finance, Procurement, Supply Chain, or
  • HR modules is a plus Cloud & Analytics Experience with cloud platforms such as:
  • Cloud Infrastructure (OCI) Experience with reporting and analytics tools such as:

This listing is sourced directly from Global Applications Solutions's careers page and normalized into a canonical job model.