

OCI -ORACLE CLOUD INFRASTRUCTURE DATA ENGINEER
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Oracle Cloud Infrastructure (OCI) Data Engineer on a contract basis, focusing on data replication. Key requirements include 3+ years of OCI experience, big data platforms, data security practices, and proficiency in SQL and scripting languages. Remote work.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 29, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Alaska, United States
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π§ - Skills detailed
#Cloudera #Data Pipeline #Scripting #Data Privacy #Replication #Datasets #Automation #Big Data #Microsoft SQL Server #Python #Storage #Data Replication #Deployment #Hadoop #Scala #GDPR (General Data Protection Regulation) #HBase #Security #Databases #Oracle #"ETL (Extract #Transform #Load)" #Data Engineering #Compliance #Cloud #MS SQL (Microsoft SQL Server) #SQL Server #Batch #Data Accuracy #Oracle Cloud #Microsoft SQL #Data Storage #Data Security #SQL (Structured Query Language)
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, NodeLogix, is seeking the following. Apply via Dice today!
Title: Oracle Cloud Infrastructure (OCI) Engineer- Data Replication
Location : Remote
Type: contract
We are seeking a skilled and detail-oriented Software Engineer specializing in Data Replication to join our data engineering team. This role will focus on building and maintaining data replication solutions that ensure the consistent, secure, and efficient transfer of large datasets across platforms and systems. The ideal candidate has hands-on experience with cloud infrastructure (especially Oracle Cloud), big data platforms, and data security practices such as data masking.
You will work closely with cross-functional teams including data engineering, infrastructure, cloud operations, and analytics to design, implement, and optimize data replication pipelines that support both real-time and batch processing at scale.
Key Responsibilities
β’ Design, implement, and maintain scalable and reliable data replication pipelines across multiple platforms, ensuring minimal data latency and high integrity.
β’ Collaborate with internal stakeholders to define data replication strategies that align with business and technical requirements.
β’ Develop automated processes for data synchronization, validation, and transformation across systems including on-premise and cloud environments.
β’ Ensure data privacy and compliance through techniques such as data masking and encryption during data replication processes.
β’ Monitor, troubleshoot, and resolve issues related to replication jobs, system performance, and data accuracy.
β’ Work with large, complex data sets and support real-time and batch data movement for reporting, analytics, and operational workflows.
β’ Document architectural decisions, replication logic, and technical configurations.
β’ Continuously identify and implement performance tuning and optimization opportunities in data flow.
Required Qualifications
β’ 3+ years of experience working with third-party platforms such as:
β’ Appian (workflow/BPM automation)
β’ Cloudera Hadoop (distributed big data storage and processing)
β’ 3+ years of hands-on experience with relational and distributed databases, including:
β’ Microsoft SQL Server
β’ HBase
β’ Hive
β’ 3+ years of experience with Oracle Cloud Infrastructure (OCI), including deployment and integration of data solutions in OCI environments.
β’ Experience with data masking and security-focused data handling for privacy and compliance (e.g., HIPAA, GDPR).
β’ Proficient in working with large data sets, optimizing data pipelines, and ensuring high throughput and low latency replication.
β’ Strong understanding of data replication concepts, such as Change Data Capture (CDC), streaming replication, and batch ETL.
β’ Familiarity with scripting languages such as Python, Shell, or Scala for automation and integration.
β’ Solid problem-solving skills, analytical thinking, and ability to work both independently and in cross-functional teams.