Wednesday, December 2, 2020

IICS Developer - ETL/Data Warehousing (3-8 yrs) (Visionyle)

Job Description :


- Hands-on experience on ETL Tools like Informatica cloud, IICS & Informatica Power Center

- Hands on development in the implementation of Informatica Intelligent Cloud Services (IICS) and Power center

- Design, develop, and support our Data applications and infrastructure utilizing various technologies to process large volumes of data

- Strong knowledge of cloud computing architecture, technical design, and implementations including infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models

- Should have working experience in Informatica Intelligent Cloud Services IICS components - application integration, data integration, Informatica data quality and Informatica power center and CRM application - Salesforce

- Should have experience in developing application integration using SOAP/REST APIs, APIs leveraged to integrate multiple systems

- Strong functional understanding of RDBMS DWH-BI conceptual knowledge

- Strong SQL Skills and performance tuning capabilities

- Create solutions and environments to enable Analytics and Business Intelligence capabilities.

- Excellent knowledge on Informatica platform as a whole and the integration among different Informatica components and services

- Excellent data analysis and data profiling skills using Informatica and Excel

- Strong experience in infrastructure architecture, such as designing, hardware sizing, effort estimation and security.

- Implement data quality checks & Standardizations in the code

- Deploy mappings that will run in a scheduled batch or real-time environment

- Document all mappings mapplets and rules in detail and hand over documentation to the customer

- Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules as applicable

- Data Modeling experience, understanding of AWS concepts, Knowledge on Spark is a plus

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