Senior Associate_Informatica Developer_Data & Analytics

• Informatica Intelligent Cloud Services)/Informatica ETL Developer experienced in designing, implementing, and maintaining data pipelines and ETL processes.
• Key Responsibilities
• Extensive experience in developing solutions with IICS Data Integration and Application Integration.
• Design, develop, and maintain ETL workflows and mappings using IICS/Informatica PowerCenter.
• Extract, transform, and load data from various source systems into data warehouses or other target systems.
• Design data mapping strategies between source systems, and Salesforce Service Cloud.
• Assist in mapping source data to target fields within Salesforce.
• Work on integrating data from multiple sources, ensuring data quality and consistency.
• Create reusable components, mappings, mapplets and workflows.
• Proven experience in resolving data integration issues, ETL performance tuning, troubleshooting and optimization.
• Required Skills and Qualifications
• Bachelor s degree in computer science, Engineering, or related field.
• 4 to 7 years of handson experience as a Data Engineer, focusing on IICS/ Informatica PowerCenter.
• Experience with SQL and database platforms (e.g., Oracle, SQL Server, MySQL).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Good to know Database Ingestion / Mass Ingestion.
• Design and develop ETL workflows using IICS to extract, transform, and load data into Salesforce Service Cloud
• Knowledge of APIs and RESTful services for Data as well as Application integration
• Worked on Rest V2 Connectors, Swager file.
• Conduct various types of testing, including Unit testing, and User Acceptance Testing (UAT), to ensure data accuracy and integrity.
• Experience with scripting languages (e.g., Python, Shell scripting) is a plus.
• Create mappings/tasks /taskflows using Cloud Data Integration (CDI).
• Create Processes/Connectors etc. using Cloud Application Integration (CAI)
• Strong understanding of data warehousing concepts, star/snowflake schema, and dimensional modelling.
• Knowledge of data governance, data quality, and security principles.

Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred ETL (Informatica), Informatica ETL Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis