SKILLS REQUIREMENTS:
Above average experience/understanding (in order of importance):
-
(CDH)
- CDEC Blueprint
Basic experience/understanding of AWS Components (in order of
CloudFormation
- Business Intelligence (BI) Experience
- Technical data modelling and schema design
Redshift
Additional experience/understanding:
- Experience in working with Enterprise
Collaboration tools such as Confluence, JIRA, etc.
- Experience developing technical documentation and artefacts
May 31, 2025. Bring your 12 years of telecom experience, including 6 years as a Solution Architect. You'll years of overall experience in the telecom industry. - Minimum 10 years of experience as a service provider and/or equipment vendor. - Minimum 6 years of experience as a Solution Architect in telecoms/Core technology technology. Compulsory Hard Skills: - Hands-on experience with Huawei MME, S-GSN, GGSN, PS core, and Ericsson protocols (SIP, Diameter, SS7, GTP, HTTP). - Experience in designing, optimizing, and managing PS and
SKILLS REQUIREMENTS:
Above average experience/understanding (in order of importance):
Data Hub (CDH)
- CDEC Blueprint
- Experience with Enterprise Collaboration tools such as Confluence
Confluence, JIRA, etc.
- Experience developing technical documentation and artefacts.
- Knowledge
as Parquet, AVRO, JSON, XML, CSV, etc.
- Experience working with Data Quality Tools such as Great
to work independently and multi-task.
- Experience building data pipelines using AWS Glue or Data
ESSENTIAL SKILLS REQUIREMENTS: Above average experience/understanding (in order of importance): - Terraform Blueprint - Experience with Enterprise Collaboration tools such as Confluence, JIRA, etc. - Experience developing such as Parquet, AVRO, JSON, XML, CSV, etc. - Experience working with Data Quality Tools such as Great ability to work independently and multi-task. - Experience building data pipelines using AWS Glue or Data DynamoDB. - Experience and solid understanding of various software design patterns. - Experience preparing
years of overall experience in the telecom industry.
- Minimum 10 years of experience as a service provider
and/or equipment vendor.
- Minimum 6 years of experience as a Solution Architect in telecoms/Core technology
/>Compulsory Hard Skills:
- Hands-on experience with Huawei MME, S-GSN, GGSN, PS core, and Ericsson
protocols (SIP, Diameter, SS7, GTP, HTTP).
- Experience in designing, optimizing, and managing PS and
technology.
- Experience with troubleshooting E2E requirements (voice MOS, YouTube Experience, Gaming Experience)
ESSENTIAL SKILLS REQUIREMENTS: Above average experience/understanding (in order of importance): - Terraform - Cloud Data Hub (CDH) - CDEC Blueprint Basic experience/understanding of AWS Components (in order of - CloudFormation - Business Intelligence (BI) Experience - Technical data modelling and schema design - AWS EMR - Redshift Additional experience/understanding: - Experience in working with Enterprise Collaboration Collaboration tools such as Confluence, JIRA, etc. - Experience developing technical documentation and artefacts
or a related field.
- Minimum 5 years of experience in system integration, software development,
(SOAP, REST), and data formats (XML/JSON).
- Experience with programming languages such as Java, Python
/>Preferred Skills:
Experience with cloud platforms (AWS, Azure, Google Cloud)
Certified Developer).
Experience Level:
Mid to Senior Level
products as well as legislation related to LISPs. Experience with AWD and Salesforce is a requirement ESSENTIAL Qualification 3-5 years LISP experience; AWD and Sales force experience Self-starter Fast learner Problem-solver
products as well as legislation related to LISPs. Experience with AWD and Salesforce is a requirement ESSENTIAL Qualification 3-5 years LISP experience; AWD and Sales force experience Self-starter Fast learner Problem-solver
interactions, and feedback. Qualifications & Experience Undergraduate degree/diploma in Mathematics, and tools (e.g. SQL (must), Python or R (must). Experience or familiarity with data science model operationalization unsupervised learning). Practical experience preferred. Experience working in a high-paced environment environment, where prioritisation is essential. Experience working and interacting with a variety of stakeholders technical, data engineers, sales and customer experience teams. History delivering small to large scale