AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.
Informatica Intelligent Cloud Service (IICS) Cloud Data Integration Service
The position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. The individual will need to be adaptive and able to react quickly to changing business needs.
Work youll do
IICS Cloud Data Integration Service Developer:
The IICS Cloud Data Integration Service Developer / Designer will be responsible for design & development of IICS Cloud Data Integration Services using Data Synchronization Service (DSS), Data Replication Service (DRS), Mappings, Mapping Tasks and Task Flows
Contribute to architecture and configuration management to ensure solutions are aligned with architecture and business objectives.
Design and implement IICS Cloud Data Integration framework for end-to-end integration solution involving various services and advanced SQL queries
Develop and implement audit, monitoring, backup and archival solutions as a part of integration process to support customer requirements.
Debug and troubleshoot any performance, data issues or errors in mappings.
Create high-quality code leveraging the latest frameworks and guidelines.
Proactive participation in design meetings and daily status updates
Create test scripts and execute the unit, module and system test for ETL processes and the resulting data contents.
Create detailed documents in adherence to the SDLC standards ensuring timely submission of different documents for approvals across different stages of project implementation.
Qualifications Required:
Education: Bachelors/Masters degree in Computer Science / MCA / M.Sc / MBA
6-9 years of experience in implementation of Data-warehouse/BI solutions
Preferred:
Should have strong problem solving and analytical capabilities.
Should be well versed with Data Integration and Data Warehousing concepts.
Should have development hands-on experience in core IICS Cloud Data Integration service components like Data Synchronization Service (DSS), Data Replication Service (DRS), Mappings, Mapping Tasks and Task Flows
Should have worked in at least one RDBMS like Oracle, Teradata, SQL Server, DB2.Shell scripting in Linux/Unix environment is mandatory.
Should have good understanding of IICS Architecture, advanced transformations like Hierarchy Builder, JSON/XML parser, Mapplet, Rank, Union, SQL
Should have good understanding of IICS parameterization, Rest API, Exception and Error handling methods and debugging.
Performance Improvement skills on IICS and RDBMS is desirable.
Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing.
Should have participated in at least 1 end-to-end data integration implementation for a cloud-based application like Salesforce.com, Redshift, Snowflake Datawarehouse, etc.
Shell scripting in Linux/Unix environment is mandatory.
Performance Improvement skills on Informatica / RDBMS is desirable.
Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing.
Should be able to understand both ER and Dimensional models.
Should be self-starter in solution implementation with inputs from design documents.
Preferable to have experience to automation and scheduling tools.
Candidate should possess good communication.
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