8 Saas Mdm Jobs

Informatica SaaS MDM - Data Engineer Permanent Chennai / Bangalore / Hyderabad Exp Range:5 to 10 years Location(Current & Preferred): Chennai/ Bangalore / Hyderabad Level: SDE( Senior Data Engineer) EXPERTISE AND QUALIFICATIONS 5+ years of technical experience in Master Data Management with 4+ years of specialized experience with Informatica MDM (Onpremises) and 3+ years in Informatica SaaS MDM or Informatica MDM modernization or cloud migration programs completed at least 2-3 full life cycle Expertise in Informatica MDM (Hub Console, IDD, BES, SIF APIs, Customization) Proven expertise in Informatica SaaS including Business Entity Services, Business 360 Console, Relationship 360, and Referen...

About the job : SAAS Developer, Minimum experience required 4 years. - Design, develop, and deploy integrations between SAAS platforms. - Build and maintain API-based connectors, data pipelines, and automation workflows. - Ensure real-time and batch sync of data across all the integrated systems. - Ensure secure data exchange across platforms, maintaining data integrity, compliance and governance. - Work with backup solutions for backup, recovery and secure storage. - Monitor and optimize the API performance, error handlings and scalability of integrations. - 8 to 10years of Experience in the IT industry with expertise into SAAS Integrations. - Strong proficiency with APIs, webhooks and auth...

Experience in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Designing, developing, testing, deploying, and documenting a project s data quality procedures and its outputs. Profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes. Experiences with creating SQL procedures, views, subqueries, multiple SQL joins, unions to perform various data extraction tasks and developing PL/SQL triggers for updating or insert...

Experience in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Designing, developing, testing, deploying, and documenting a project s data quality procedures and its outputs. Profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes. Experiences with creating SQL procedures, views, subqueries, multiple SQL joins, unions to perform various data extraction tasks and developing PL/SQL triggers for updating or insert...

Experience in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Designing, developing, testing, deploying, and documenting a project s data quality procedures and its outputs. Profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes. Experiences with creating SQL procedures, views, subqueries, multiple SQL joins, unions to perform various data extraction tasks and developing PL/SQL triggers for updating or insert...

Experience in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Designing, developing, testing, deploying, and documenting a project s data quality procedures and its outputs. Profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes. Experiences with creating SQL procedures, views, subqueries, multiple SQL joins, unions to perform various data extraction tasks and developing PL/SQL triggers for updating or insert...

Experience in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Designing, developing, testing, deploying, and documenting a project s data quality procedures and its outputs. Profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes. Experiences with creating SQL procedures, views, subqueries, multiple SQL joins, unions to perform various data extraction tasks and developing PL/SQL triggers for updating or insert...

Experience in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Designing, developing, testing, deploying, and documenting a project s data quality procedures and its outputs. Profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes. Experiences with creating SQL procedures, views, subqueries, multiple SQL joins, unions to perform various data extraction tasks and developing PL/SQL triggers for updating or insert...