Senior Oracle GoldenGate Data Engineer

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🕒 May 21

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Compass

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

📱 Media

Real Estate • Media

Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

📋 Description

• Design, develop, and maintain scalable data pipelines focused on ingestion via CDC (Change Data Capture) using Oracle GoldenGate; • Configure and manage real-time and near-real-time data replication between source systems and cloud environments; • Ensure data consistency, integrity, and synchronization between source and target systems; • Monitor ingestion pipelines, perform troubleshooting, and optimize CDC process performance; • Support full and incremental (delta) load strategies; • Develop and maintain data processing pipelines using Azure and Databricks (Spark); • Implement transformations following modern data architecture patterns using Bronze, Silver, and Gold layers; • Optimize pipelines for performance, scalability, and cost efficiency; • Work with structured and semi-structured data for analytical consumption, reporting, and AI/ML initiatives; • Collaborate with data architects to define modern Lakehouse architectures; • Support data governance, data catalog, lineage, and compliance initiatives; • Ensure data availability, reliability, security, and quality for downstream consumption.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; • Hands-on, proven experience with Oracle GoldenGate for data ingestion and CDC (Change Data Capture), including real-time and near-real-time replication; • Experience developing, supporting, and optimizing scalable, distributed data pipelines; • Experience with the Microsoft Azure ecosystem, including Azure Data Factory, Azure Data Lake, and Azure Data Lake Storage Gen2; • Strong knowledge of Databricks and distributed processing using Spark; • Experience with modern data architectures such as Lakehouse, working with Bronze, Silver, and Gold layers; • Experience with full and incremental (delta) loads, ensuring data integrity, consistency, and synchronization; • Knowledge of pipeline monitoring, troubleshooting, performance tuning, and cost optimization in cloud environments; • Experience working with structured and semi-structured data for analytics, reporting, and AI/ML initiatives; • Knowledge of data governance, data cataloging, lineage, security, and corporate architecture best practices; • Ability to work collaboratively with data architects, analytics teams, and business stakeholders.