As a Data Engineer – Informatica PowerCenter, you will:

• Design, develop, and maintain ETL processes using Informatica PowerCenter to support data integration and transformation.
• Work with Azure SQL and Azure Synapse databases to create, optimize, and manage data pipelines and storage solutions.
• Implement and automate CI/CD processes to streamline deployment and ensure efficient code delivery.
• Collaborate with cross-functional teams to ensure the successful implementation of data solutions and to maintain high standards of data integrity and quality.
• Utilize best practices for version control and code management using Git, ensuring efficient collaboration and development workflows.

What You Bring to the Table:

• Strong hands-on experience in Informatica ETL, particularly Informatica PowerCenter.
• Solid knowledge of SQL for querying and managing relational databases.
• In-depth experience with Azure SQL and Azure Synapse, with a strong understanding of cloud-based data systems.
• Practical experience with CI/CD tools and deployment automation for seamless software releases.
• Familiarity with Git and version control practices for code management and collaboration.
• A solid understanding of conceptual data models, data warehousing principles, and best practices in data management.

You should possess the ability to:

• Analyze business requirements and translate them into effective and efficient data integration solutions.
• Troubleshoot and optimize ETL processes to handle large volumes of data.
• Collaborate effectively with stakeholders, data architects, and other engineers to ensure data quality and system performance.
• Maintain and update data pipelines as per evolving business needs and technologies.
• Ensure high standards for deployment, code management, and system security through automation and CI/CD practices.

What We Bring to the Table:

• A dynamic and innovative work environment that fosters professional growth and development.
• Opportunities to work with cutting-edge technologies in cloud computing and data engineering.
• A collaborative team where your contributions are valued and your expertise is recognized.
• Competitive compensation and benefits packages, ensuring work-life balance.