Senior Informatica Developer

Roles and Responsibilities Design, develop, maintain, and optimize ETL processes using Informatica Intelligent Data Management Cloud (IDMC). Build, maintain, and support data integration workflows, mappings, and pipelines. Design and implement scalable data warehouse solutions using dimensional data modeling principles. Develop and maintain ETL processes for data migration, transformation, and integration from multiple source systems. Integrate enterprise applications using REST APIs and Salesforce/SQL connectors. Perform ETL testing, troubleshoot defects, and ensure data accuracy and integrity. Collaborate with business analysts, architects, developers, and QA teams to deliver data integration solutions. Monitor production ETL processes, investigate issues, and ensure high system availability. Optimize ETL performance, database queries, and data processing workflows. Mentor junior developers by providing technical guidance and best practices. Participate in Agile ceremonies and contribute throughout the Software Development Life Cycle (SDLC). Maintain technical documentation and support continuous process improvements. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 7+ years of experience in Informatica development and enterprise ETL solutions. Strong experience with Informatica Intelligent Data Management Cloud (IDMC) or Informatica Cloud. Expertise in ETL architecture, data integration, and database design. Strong knowledge of data warehousing concepts, BI architecture, and dimensional data modeling. Advanced SQL skills with experience designing and optimizing complex queries. Experience with REST APIs and integrating enterprise applications. Experience using Salesforce and SQL connectors for data integration. Experience with Azure DevOps and Agile software development practices. Knowledge of database conversion, migration, and ETL optimization techniques. Familiarity with scripting languages such as PowerShell, Python, Shell, or similar. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications Experience with cloud-based data integration and modern data platforms. Knowledge of performance tuning for ETL workflows and databases. Experience with CI/CD pipelines for ETL deployments. Informatica certifications are a plus. Experience working in enterprise-scale data warehouse environments.