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Senior Data Engineer / Data Analyst (Databricks & Oracle ERP)

Job

Global Applications Solutions

Remote

Full-Time

Posted 1 week ago (Updated 6 days ago) • Actively hiring

Expires 6/29/2026

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Job Description

Job Title:

Senior Data Engineer / Data Analyst (Databricks & Oracle ERP)

Location:

Houston, TX (Hybrid)

Position Type:

Contract Position Overview We are seeking a high-caliber Senior Data Engineer / Data Analyst with a unique blend of modern cloud data engineering expertise and deep roots in Oracle ERP systems. In this role, you will architect, build, and optimize data pipelines that extract high-value financial, supply chain, and operational data from Oracle EBS or Fusion, transforming it within Databricks to drive enterprise-wide analytics. If you are a hybrid engineer-analyst who can both write complex PySpark jobs and talk intelligently with business stakeholders about Oracle ledger tables, we want to hear from you.

Key Responsibilities Data Pipeline Engineering:

Design, build, and maintain robust, scalable batch and real-time ETL/ELT pipelines to ingest data from Oracle ERP (EBS or Cloud Fusion) into a Databricks Lakehouse environment.

Data Analysis & Modeling:

Analyze complex Oracle ERP schemas (FND, GL, AP, AR, PO, INV, etc.) to map, clean, and model data for downstream business intelligence and reporting.

Performance Optimization:

Tune complex SQL queries, optimize Databricks clusters, and manage Delta Lake tables to ensure maximum speed and cost efficiency.

Cross-Functional Collaboration:

Partner with finance, supply chain, and business analysts to translate complex business requirements into technical data models.

Governance & Documentation:

Maintain rigorous data documentation, data lineage, and security compliance protocols across cloud and on-premise data estates.

Required Technical Skills & Qualifications Experience:

5+ years of dedicated data engineering or data analytics experience, with a heavy emphasis on enterprise ERP data.

Oracle ERP Ecosystem:

Hands-on, deep technical knowledge of Oracle EBS (R12) or Oracle Cloud Fusion underlying database tables, schemas, and API extraction methods.

Databricks Mastery:

Proven experience building pipelines within Databricks using PySpark, Scala, or Spark SQL . Deep understanding of Delta Lake architecture.

Advanced SQL:

Exceptional SQL skills for querying, data manipulation, and performance tuning against massive relational datasets.

Cloud Infrastructure:

Familiarity with cloud data platforms (AWS, Azure, or Google Cloud Platform) supporting the Databricks environment.

Soft Skills & Work Preferences Analytical Mindset:

Ability to reverse-engineer messy legacy data structures and transform them into clean, reusable data assets.

Communication:

Excellent verbal and written communication skills; comfortable presenting technical data concepts to non-technical business partners.

Hybrid Flexibility:

Ability to commute to our Houston, TX office on a hybrid schedule (specific in-office days to be discussed). Interested? Email CV to

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WhatsApp:

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