Senior ETL Developer - Informatica
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As a Senior ETL Developer at CodeNinja, you will play a critical role in transforming raw data into actionable insights. You'll design, develop, and maintain ETL processes to ensure the seamless flow of data between various systems. Your expertise in ETL tools and data integration will be key to delivering high-quality data solutions that support our clients' needs.
Key Responsibilities:
• Design and implement efficient ETL processes for data extraction, transformation, and loading.
• Work closely with data analysts and engineers to understand data requirements and deliver high-quality data sets.
• Optimize ETL workflows for performance and reliability.
• Develop and maintain documentation for ETL processes, data models, and data lineage.
• Troubleshoot and resolve data quality issues and ETL failures. Requirements
Must-Have Skills:
• 5+ years of experience in ETL development and data integration.
• Proficiency in ETL tools such as Informatica, Talend, or Apache NiFi.
• Strong SQL skills for data manipulation and analysis.
• Experience with data warehousing and database design principles.Desired Skills:
• Familiarity with cloud technologies such as AWS or Azure.
• Knowledge of data governance and data quality best practices.
• Strong analytical and problem-solving skills.
Requirements
- •5+ years of experience in ETL development and data integration
- •Proficiency in ETL tools such as Informatica, Talend, or Apache NiFi
- •Strong SQL skills for data manipulation and analysis
- •Experience with data warehousing and database design principles
Nice to Have
- •Familiarity with cloud technologies such as AWS or Azure
- •Knowledge of data governance and data quality best practices
- •Strong analytical and problem-solving skills
Responsibilities
- •Design and implement efficient ETL processes
- •Understand data requirements and deliver high-quality data sets
- •Optimize ETL workflows for performance and reliability
- •Develop and maintain documentation for ETL processes
- •Troubleshoot and resolve data quality issues and ETL failures
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