
Data Engineering Expert
1 week ago
We are seeking a highly skilled Data Engineer to design, build, and maintain efficient data pipelines that support business analytics and reporting.
Responsibilities:
- Data Pipeline Development: Design and develop ETL/ELT data pipelines to support business analytics and reporting.
- Database Performance Optimization: Implement data models optimized for performance, scalability, and business needs, ensuring high-quality data flows.
- Data Integration Automation: Work with Oracle Data Integrator (ODI) to automate and streamline data integration processes.
- Data Quality Assurance: Ensure data quality, integrity, and consistency across various systems.
- SQL Query Optimization: Optimize SQL queries and database performance for efficient data retrieval.
- Collaboration: Collaborate with data scientists, analysts, and BI teams to provide well-structured data for insights.
- Troubleshooting: Monitor and troubleshoot data pipeline failures, ensuring minimal downtime.
Requirements:
- Bachelors or equivalent Degree in Computer Science, Information Technology or related field.
- 2-4 years of experience in data engineering, ETL, and data pipeline development.
- Strong proficiency in SQL for data transformation, query optimization, and performance tuning.
- Hands-on experience with Oracle Data Integrator (ODI) for data integration and automation.
- Knowledge of data modeling principles (dimensional modeling, normalization, denormalization).
- Familiarity with database systems such as Oracle, MS SQL Server, or other relational databases.
- Strong problem-solving skills with the ability to troubleshoot and optimize data workflows.
- Ability to work independently and collaborate with cross-functional teams.
- Good understanding of data governance, security, and compliance best practices.
- Knowledge of Python or Shell scripting for automation.
- Exposure to CI/CD for data pipelines and version control systems like Git.
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