Data Engineer- Oracle Apps 181451

Posted 2 Days Ago
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Durham, NC, USA
In-Office
Senior level
Information Technology • Professional Services • Software • App development
The Role
Administer and optimize Oracle application databases while developing data models, warehouses, ETL pipelines, and analytics solutions across Oracle and Snowflake. Build scalable Python and SQL workflows, support Oracle Analytics Server, manage MongoDB use cases, automate monitoring, and implement CI/CD. Ensure data quality, governance, security, high availability, disaster recovery, and performance across enterprise data platforms.
Summary Generated by Built In
Key Responsibilities

Application DBA Responsibilities

  • Administer, monitor, and tune Oracle databases supporting critical applications
  • Manage database performance (query optimization, indexing, partitioning, and execution plans)
  • Perform database maintenance activities (backups, recovery, patching, upgrades)
  • Ensure high availability, disaster recovery, and data integrity
  • Support application teams in database design and troubleshooting
Data Engineering & Architecture
  • Develop and maintain data models (dimensional and normalized) to support analytics and reporting
  • Build and optimize enterprise data warehouse solutions across Oracle and Snowflake platforms
  • Ensure efficient ingestion, transformation, and integration of structured and unstructured data
  • Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Informatica and Python
Reporting & Analytics Support
  • Support and enhance Oracle Analytics Server reporting environments
  • Collaborate with BI and analytics teams to ensure data accuracy and usability
  • Optimize data structures for reporting performance
Cloud & Modern Data Platforms
  • Develop and maintain solutions in Snowflake cloud data warehouse
  • Implement best practices for cloud data architecture, cost optimization, and performance
  • Work with NoSQL technologies (MongoDB) for semi-structured and unstructured data use cases
Development & Automation
  • Write efficient, reusable, and scalable code using Python and SQL
  • Automate data workflows, monitoring, and alerting
  • Implement CI/CD practices for data pipelines and database deployments
Data Governance & Quality
  • Ensure data quality, consistency, and security across platforms
  • Implement data validation, cleansing, and lineage tracking
  • Adhere to corporate data governance and compliance standards
Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) and 7+ years of experience in data engineering and database administration

Technical Skills
  • Strong expertise in:
  • Oracle Database (Application DBA experience required)
  • Informatica (ETL development)
  • Data Warehousing concepts and architecture
  • Hands-on experience with:
  • Snowflake
  • Oracle Analytics Server (reporting and integration)
  • Python
  • SQL (advanced querying and performance tuning)
  • NoSQL databases (MongoDB preferred)
Preferred Qualifications
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Familiarity with modern data stack tools (dbt, Airflow, etc.)
  • Knowledge of DevOps and CI/CD pipelines
  • Experience supporting high-volume transactional systems (OLTP)
  • Exposure to data governance and security frameworks
Key Competencies
  • Strong analytical and problem-solving skills
  • Ability to balance development and operational DBA responsibilities
  • Excellent communication and stakeholder collaboration
  • Detail-oriented with a focus on performance and reliability
  • Proactive in identifying and resolving system bottlenecks


Skills Required

  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
  • 7+ years of experience in data engineering and database administration
  • Strong expertise in Oracle Database and application DBA responsibilities
  • Strong expertise in Informatica ETL development
  • Strong knowledge of data warehousing concepts and architecture
  • Hands-on experience with Snowflake
  • Hands-on experience with Oracle Analytics Server
  • Hands-on experience with Python
  • Advanced SQL querying and performance tuning experience
  • Experience with NoSQL databases; MongoDB preferred
  • Experience with cloud platforms such as Azure, AWS, or GCP
  • Familiarity with modern data stack tools such as dbt and Airflow
  • Knowledge of DevOps and CI/CD pipelines
  • Experience supporting high-volume transactional systems
  • Exposure to data governance and security frameworks
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The Company
79 Employees
Year Founded: 1998

What We Do

CTI Consulting is a South Florida technology solutions and staffing firm founded in 1998. It provides IT staffing and nearshore staffing services for startups through Fortune 100 companies, alongside digital-product work such as designing, testing, deploying, improving, and updating mobile applications. The company emphasizes close client collaboration, comprehensive candidate evaluation, continuing education, and innovative, scalable software solutions that improve operational efficiency.

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