Technical > ETL Developer
Salary National Average
| Low | Medium | High |
|---|---|---|
| 101120.0000 | 119270.0000 | 131440.0000 |
Supply and Demand
Candidate Supply: 790 Job Openings: 398
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Short Description:
An ETL (Extract, Transform, Load) Developer is a skilled IT professional who specializes in designing, developing, and maintaining ETL processes. These processes are essential for extracting data from various sources, transforming it into a consistent format, and loading it into a data warehouse or another storage system. ETL Developers play a critical role in data integration, ensuring data quality and accessibility for analytics and reporting.
Duties / Responsibilities:
- Design and develop ETL processes to extract data from source systems, transform it into the desired format, and load it into a target data repository.
- Collaborate with data analysts, database administrators, and other stakeholders to understand data requirements and transformations.
- Ensure data quality and integrity by performing data validation, cleansing, and error handling.
- Optimize ETL processes for performance and scalability, minimizing data load times and resource utilization.
- Maintain and monitor ETL jobs to ensure data integration processes run smoothly and troubleshoot issues as they arise.
- Develop and maintain documentation for ETL processes, including data mappings, transformation logic, and job schedules.
- Collaborate with business users to gather and clarify requirements for data integration and reporting.
- Stay up-to-date with ETL tools and technologies, as well as best practices for data integration.
- Implement security and compliance measures to protect sensitive data during the ETL process.
- Conduct data profiling and analysis to identify potential data quality issues and recommend solutions.
Skills / Requirements / Qualifications
- Education: Bachelor's degree in computer science, information technology, or a related field.
- ETL Tools: Proficiency in ETL tools and technologies, such as Informatica, Talend, Apache Nifi, or custom ETL scripting.
- SQL: Strong SQL skills for data manipulation and transformation.
- Database: Experience with databases (e.g., SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
- Problem-Solving: Strong problem-solving and debugging skills for troubleshooting ETL issues.
- Data Integration: Knowledge of data integration best practices and ETL design patterns.
- Communication: Excellent communication skills for collaborating with cross-functional teams and documenting ETL processes.
- Compliance: Familiarity with data governance, data quality, and data privacy regulations may be required, depending on the industry and organization.
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