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Unified Communications (Telecom)
Tech Stack: GCP, BigQuery, Cloud Data Fusion, Snowflake, SharePoint, Dashboards & Reporting
Our client, a leading telecom provider, is driving a data-first transformation across its Unified Communications (UC) domain. With products distributed across multiple markets, they are now embarking on a critical initiative to unify data under a
Unified Communications (Telecom)
Tech Stack: GCP, BigQuery, Cloud Data Fusion, Snowflake, SharePoint, Dashboards & Reporting
Our client, a leading telecom provider, is driving a data-first transformation across its Unified Communications (UC) domain. With products distributed across multiple markets, they are now embarking on a critical initiative to unify data under a common data model that spans billing, ticketing, and other core services. The role will play a key part in designing and implementing this future-ready data architecture.
Key Responsibilities
You will be a senior contributor to the Data Engineering stream, with a focus across Logical Data Modelling (LOD), Data Integration & Implementation, and High-Level Data Design.
Your Main Tasks Will Include
Logical & High-Level Data Design
* Define and design a Common Data Model (CDM) to support multiple markets and business domains (billing, ticketing, etc.)
* Develop logical data models that unify disparate data sources into a single framework
* Align new data structures with an existing legacy GCP lake that integrates with SharePoint
* Collaborate with the multiple teams, who will own the High-Level Design (HLD) and deployment activities
Data Implementation & Integration
* Lead the ingestion and transformation of data into the new centralized Data Lake on Google Cloud Platform (GCP)
* Work alongside the teamresponsible for Low-Level Design (LLD) and implementation
* Integrate and manage data flow using Cloud Data Fusion, ingesting into BigQuery for analytics and reporting
* Ensure smooth integration of new data sources with Snowflake, supporting expanded business intelligence capabilities
* Leverage tools such as the clients Analytics Product and ensure compatibility with Neuron-compatible Data Hub
Data Lake & Cloud Strategy
* Design scalable, cloud-native data pipelines in GCP
* Work closely with cloud architects to ensure solutions are aligned with enterprise cloud strategy
* Ensure all integrations meet performance, reliability, and cost-efficiency goals
* Support migration of data from legacy systems into the new lake architecture
* Integrate the architecture with enterprise tooling and cloud governance standards
Data Governance & Reporting
* Enable robust reporting and dashboarding using integrated tools and platforms
* Ensure data quality, governance, and compliance across integrated systems
* Collaborate with BI teams for delivery of insights via dashboards and visualizations
Key Skills & Experience
* Proven experience in Data Engineering, particularly within complex, multi-market environments
* Expertise in:
o Google Cloud Platform (GCP)
o BigQuery, Cloud Data Fusion
o Snowflake integration
o Building Data Lakes and data pipelines
* Strong background in logical data modelling (LOD) and implementing common data models
* Hands-on experience implementing data reporting and dashboards creation
* Comfortable operating across both legacy and modern cloud-based data infrastructures
* Experience within the telecom industry or other highly data-driven sectors is a plus
Soft Skills
* Strong communicator with the ability to manage technical and non-technical stakeholders
* Self-starter who can lead complex design and implementation workstreams
* Collaborative mindset, comfortable working across distributed, cross-functional teams
Technology Stack
* Google Cloud Platform (GCP)
* BigQuery, Cloud Data Fusion
* Snowflake
* SharePoint
* Analytics Product
* Neuron-compatible Data Hub
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Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Information Technology
* Industries
Data Infrastructure and Analytics
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