We are seeking an experienced Data Modeler with a strong telecom industry background to join our data engineering team. The ideal candidate will have deep domain knowledge in telecom business processes (BSS/OSS), data flows, and KPIs, and will be responsible for designing, developing, and maintaining logical and physical data models that support our enterprise data initiatives.
Key Responsibilities:- Design, implement, and maintain conceptual, logical, and physical data models using industry best practices.
- Collaborate with business stakeholders and subject matter experts in the telecom domain to understand data requirements (e.g., customer data, CDRs, usage, network, billing, CRM).
- Analyze existing data systems and data flows to identify gaps, redundancies, and areas for improvement.
- Create and maintain data dictionaries, metadata repositories, and data lineage documentation.
- Work closely with ETL developers, data architects, and data analysts to ensure models are implemented as designed.
- Ensure data models are optimized for performance, maintainability, and scalability.
- Define and enforce data governance and data quality standards across telecom datasets.
- Support data warehouse and data lake design initiatives (e.g., Snowflake, Redshift, BigQuery).
- 4+ years of experience in data modeling
- Experience in telecom industry.
- Strong understanding of telecom data domains: Subscriber, Usage, Billing, Network, Products, Services, CRM, etc.
- Hands-on experience with data modeling tools such as Erwin, PowerDesigner, ER/Studio, or similar.
- Proficiency in SQL, data profiling, and metadata management.
- Experience with data warehousing concepts, dimensional modeling (Kimball/Inmon), and star/snowflake schemas.
- Familiarity with ETL processes and data integration tools (e.g., Informatica, Talend, Apache NiFi).
- Experience working in cloud data platforms (AWS, GCP, Azure) is a plus.
- Knowledge of BSS/OSS systems like Amdocs, Netcracker, Ericsson, etc., is highly desirable.
- Telecom certifications or training (e.g., TM Forum, eTOM, SID models).
- Experience with big data technologies (e.g., Spark, Hive, Kafka).
- Knowledge of data governance frameworks and tools (e.g., Collibra, Alation).
- Strong communication and stakeholder engagement skills.
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What We Do
Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance.
Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions.
We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations.
Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field
