Senior Data Engineer in Durham

Energy Jobline
Durham, NC, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Microsoft Azure Information Systems Continuous Integration Information Engineering Extract Transform Load (ETL) Data Warehousing Database Development Dimensional Modeling Python (Programming Language) MongoDB
+11 more
Oracle Databases Performance Tuning Query Optimization PL-SQL SQL Databases Enterprise Data Management Snowflake Indexer Oracle Service Cloud Information Technology Sql Tuning

Job description

We are sourcing a Senior Data Engineer with Application DBA Expertise to work at our client’s location., * Application DBA background supporting Oracle database performance, troubleshooting, maintenance, and reliability. \n

  • Experience developing ETL workflows using Informatica. \n

  • Strong understanding of data warehousing, dimensional modeling, and normalized data models. \n

  • Experience with cloud platforms (Azure, AWS, or GCP) \n

  • Experience with Snowflake, Oracle Analytics Server, Python, and MongoDB. \n

  • Experience supporting enterprise data platforms and high-volume transactional systems. \n

  • Knowledge of CI/CD, data quality, governance, lineage, and cloud platforms is . \n

  • This role is primarily focused on PL/SQL engineering and development, with supporting responsibilities in Oracle database tuning and Informatica ETL. \n

Requirements

  • Bachelor’s degree in computer science, Information Systems, or a related field. \n

  • 8+ years of experience in data engineering, database development, or database administration. \n

  • Strong hands-on experience with Oracle PL/SQL development, including packages, procedures, functions, triggers, and complex SQL. \n

  • Strong experience with SQL performance tuning, query optimization, indexing, partitioning, and execution plans. \n

  • Familiarity with modern data stack tools (dbt, Airflow, etc.)

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