• Architect and implement end-to-end data solutions on Google Cloud Platform (GCP).
• Design data models, pipelines, and frameworks that ensure consistency and integrity of telecom revenue data.
• Work closely with Revenue Assurance teams to understand reconciliation and leakage detection requirements.
• Ensure compliance with security policies and data governance standards in a regulated, cleared environment.
• Drive data ingestion, transformation, and orchestration across multiple telecom systems and platforms.
• Provide architectural oversight and technical leadership to engineering and analytics teams.
• Interface directly with the client during the selection process and project execution.
• Proficiency with GCP services including BigQuery, Dataflow, Cloud Storage, Pub/Sub, etc.
• Expertise in data modelling, ETL/ELT pipelines, and data integration.
• Solid programming/scripting experience in SQL, Python, or similar.
• Experience and expertise in UNIX
• Understanding of data governance, security best practices, and regulatory compliance (e.g., GDPR).
• Experience in working with large-scale telecom datasets from OSS/BSS systems.
  Job Type: Permanent

Experience:

• Google Cloud Platform (GCP): 9 years (required)
• Data Architect : 9 years (required)
• Telecom Revenue Assurance.: 8 years (required)

Licence/Certification:

• security clearance (required)

Please refer the Job description for details