T&T - Customer - CS&D - Consultant | MS Dynamics 365 |

2 years

12 - 13 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


Architecture

Proven experience designing hybrid on-premises and cloud data architectures, enabling coexistence between legacy and modern platforms.


Experience defining canonical data models, data contracts, and interface specifications across diverse systems.


Ability to design federated and virtualized data access patterns to minimize data duplication while maintaining consistent enterprise views.

Technical Expertise

Strong knowledge of Contact Centre platforms specifically Genesys Engage / PureEngage (InfoMart, GAAP, GIDB, SpeechMiner) and at least one major CCaaS platform (Five9, Google CCAI Platform, Amazon Connect).


Deep understanding of contact center data models interactions, calls, agents, queues, routing, wrap-up, and state transitions.


Experience designing and maintaining data warehouses and analytics pipelines using tools like BigQuery or similar data warehouse solutions


Proficiency in ETL / ELT frameworks and data integration tools such as Airflow, Dataflow, Kafka, or Pub/Sub.


Strong hands-on skills in real-time streaming architectures event driven data ingestion and processing using Kafka, Google Pub/Sub, or AWS Kinesis for low-latency data flows.


Solid command of SQL and data modeling, including dimensional modeling, fact/dimension schema design, and slowly changing dimensions.


Experience with API-based data ingestion (REST, SOAP, webhooks) from CCaaS or CRM systems.


Familiarity with data virtualization and federation tools such as Denodo, BigQuery Omni, or equivalent technologies to enable hybrid query federation.

Required Skills Experience

Strong knowledge of Contact Center platforms experience with Genesys Engage / PureEngage data (InfoMart, GAAP, GIDB, SpeechMiner) and at least one CCaaS platform (Five9, Google CCAI Platform, or Amazon Connect).


Solid understanding of contact center data models interactions, calls, agents, queues, routing, wrap-up, and states.


Experience building and maintaining data pipelines and warehouses (BigQuery or similar).


Proficiency with data integration tools and streaming frameworks such as Kafka or Google Pub/Sub


Strong SQL and data modeling skills

Key Responsibilities


Develop and maintain data pipelines to integrate and transform data from Genesys (InfoMart, GAAP, SpeechMiner) and cloud-based CCaaS platforms (e.g., Five9, Google CCAI Platform, Amazon Connect).
Implement and optimize ETL / ELT workflows for high-volume contact center data using tools such as Airflow, Kafka, or Pub/Sub.
Support the design and development of hybrid on-prem and cloud data architectures, ensuring seamless coexistence during migration.
Build and maintain data models and warehouse tables (fact/dimension structures) for reporting and analytics.
Collaborate with data architects to implement canonical data models, data contracts, and federated access layers.

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