Data engineer - informatica (id:3398)

• Design, develop, test, and maintain data integration solutions using Informatica within complex data environments.
• Build, enhance, and support Data Warehouse and Data Lake platforms for enterprise analytics and reporting.
• Develop and optimize data pipelines handling large-scale structured and semi-structured data.
• Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
• Participate in the continuous improvement of data architecture, performance, and data quality., * Exposure to modern Data Warehouse and Data Lake architectures.
• Opportunity to work on enterprise-level data integration initiatives.
• A collaborative and engineering-driven work environment.
• Scope to enhance skills in Python and Spark-based data processing.
• Long-term growth within the data engineering and analytics domain.

• 5-7 years of overall experience in data engineering, data integration, or ETL development.
• Strong hands-on experience with Informatica for data extraction, transformation, and loading.
• Proven experience working with Data Warehouses and Data Lakes.
• Solid understanding of data modeling, ETL frameworks, and data processing concepts.
• Exposure to Python and Apache Spark is a strong advantage.
• Experience working in complex, enterprise-scale data environments.

You Should Possess the Ability to:

• Design and implement end-to-end data solutions aligned with business requirements.
• Build efficient, scalable, and high-performance ETL pipelines.
• Analyze data flows and troubleshoot performance or data quality issues.
• Translate business and analytical needs into robust technical data solutions.
• Adapt quickly to evolving data technologies and platforms., As a Senior Data Engineer - Informatica, you will: Design, develop, test, and maintain data integration solutions using Informatica within complex data environments. Build, enhance, and support Data Warehouse and Data Lake platforms for enterprise analytics and reporting. Develop and optimize data pipelines handling large-scale structured and semi-structured data. Collaborate with cross-functional teams to deliver reliable and scalable data solutions. Participate in the continuous improvement of data architecture, performance, and data quality. What You Bring to the Table: 5-7 years of overall experience in data engineering, data integration, or ETL development. Strong hands-on experience with Informatica for data extraction, transformation, and loading. Proven experience working with Data Warehouses and Data Lakes. Solid understanding of data modeling, ETL frameworks, and data processing concepts. Exposure to Python and Apache Spark is a strong advantage. Experience working in complex, enterprise-scale data environments. You Should Possess the Ability to: Design and implement end-to-end data solutions aligned with business requirements. Build efficient, scalable, and high-performance ETL pipelines. Analyze data flows and troubleshoot performance or data quality issues. Translate business and analytical needs into robust technical data solutions. Adapt quickly to evolving data technologies and platforms. What We Bring to the Table: Exposure to modern Data Warehouse and Data Lake architectures. Opportunity to work on enterprise-level data integration initiatives. A collaborative and engineering-driven work environment. Scope to enhance skills in Python and Spark-based data processing. Long-term growth within the data engineering and analytics domain. Let's Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: +31 20 369 0609 ; Extn :132 Email: [email protected] LinkedIn