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Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 12+ year background in data engineering, specializing in Oracle Fusion Data Intelligence and HCM. Contract length and pay rate are unspecified. Key skills include Databricks, PySpark, SQL, and Delta Lake.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
August 7, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Governance #Data Pipeline #Datasets #Databricks #PySpark #Microsoft Power BI #Data Engineering #Metadata #Oracle #Data Access #BI (Business Intelligence) #Data Architecture #SQL (Structured Query Language) #Delta Lake #Data Quality #Security #Spark SQL #Spark (Apache Spark) #Documentation
Role description
We are seeking a senior-level data professional with strong experience in Oracle Fusion Data Intelligence (FDI), Oracle Fusion HCM, Databricks, PySpark, SQL, Delta Lake, and Power BI. This person will play a key role in building and supporting Acosta’s People Data architecture by connecting source systems, governed data models, reporting layers, and analytics solutions. Key responsibilities include: β€’ Supporting Oracle Fusion Data Intelligence setup, configuration, validation, security alignment, and HCM analytics enablement β€’ Designing enterprise data architecture, integrations, data models, and documentation β€’ Building and optimizing data pipelines using Databricks, PySpark, SQL, and Delta Lake β€’ Implementing data governance, data quality, lineage, metadata, access controls, and PII protection β€’ Partnering with HRIS, IT, vendors, analytics teams, and business stakeholders Ideal candidates will have: β€’ 12+ years of experience in data engineering, data architecture, or analytics engineering β€’ Strong Oracle Fusion HCM and Oracle Fusion Data Intelligence experience β€’ Advanced Databricks experience (PySpark, Delta Lake, Unity Catalog, Medallion architecture) β€’ Experience creating enterprise data models, semantic layers, and reporting datasets β€’ Background supporting workforce analytics, HR data, or People Data environments preferred