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BCE Global Tech

Open 19d

Data Engineer - Billing and Payment domain

Posted Updated 6 views
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Job Description: Data SME

Role Overview

We are seeking a highly skilled Data SME to support Billing & Payment analytics and drive business-side data requirements for a strategic AI initiative. The role will act as the primary subject matter expert for billing data, collaborating closely with Data Engineering and AI teams to build AI-driven solutions that analyze customer communications, compare promised offers with billing outcomes, identify discrepancies, determine root causes etc.


Required Skills & Experience

Technical Skills

  • 8+ years of experience in Data Engineering, Data Science.
  • Proven experience working with large-scale billing and payment data environments.
  • Advanced expertise in SQL and Python.
  • Strong experience in Data Modeling (Conceptual, Logical, and Physical Models).
  • Expertise in Data Warehousing technologies, specifically:
    • Teradata
    • Google BigQuery
  • Hands-on experience building and supporting ETL/ELT pipelines.
  • Experience extracting, cleansing, transforming, and analyzing complex billing and payment data.
  • Strong understanding of enterprise data ecosystems and data architecture.
  • Familiarity with AI/ML data requirements, feature engineering, and model-ready datasets.
  • Experience bridging technical and business requirements for AI initiatives.

Domain Expertise

  • Strong knowledge of Billing & Payment systems, processes, and data structures.
  • Experience working with customer billing, invoices, payments, promotions, and offer validation.
  • Ability to translate billing business logic into data and AI solutions.




Requirements

Required Skills & Experience

Technical Skills

  • 8+ years of experience in Data Engineering, Data Science.
  • Proven experience working with large-scale billing and payment data environments.
  • Advanced expertise in SQL and Python.
  • Strong experience in Data Modeling (Conceptual, Logical, and Physical Models).
  • Expertise in Data Warehousing technologies, specifically:
    • Teradata
    • Google BigQuery
  • Hands-on experience building and supporting ETL/ELT pipelines.
  • Experience extracting, cleansing, transforming, and analyzing complex billing and payment data.
  • Strong understanding of enterprise data ecosystems and data architecture.
  • Familiarity with AI/ML data requirements, feature engineering, and model-ready datasets.
  • Experience bridging technical and business requirements for AI initiatives.

Domain Expertise

  • Strong knowledge of Billing & Payment systems, processes, and data structures.
  • Experience working with customer billing, invoices, payments, promotions, and offer validation.
  • Ability to translate billing business logic into data and AI solutions.


Benefits

What We Offer:

  • Competitive salaries and comprehensive health benefits.
  • Flexible work hours and remote work options.
  • Professional development and training opportunities.
  • A supportive and inclusive work environment.
  • Access to cutting-edge technology and tools.


Skills

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See also

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