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Data Engineer (PL/SQL)

Temporary

Kforce has a client in Durham, NC that is seeking a Data Engineer (PL/SQL). Responsibilities:

  • 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
  • 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
  • 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
  • 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
  • Ensure data quality, consistency, and security across platforms
  • Implement data validation, cleansing, and lineage tracking
  • Adhere to corporate data governance and compliance standards
  • 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
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
Vacancy posted 7 days ago
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