VAM Systems is a
Business Consulting, IT Solutions and Services company.
VAM Systems is
currently looking for Telecom
Data Architect for our UAE operations
with the following skillsets & terms and conditions:
Technical skills
•
Data Architecture -
Data Warehouse, Data Mart, ODS, ETL, reporting, analytics, master data
management
•
Data Modelling - 3NF,
Dimensional, Star Schema
•
Understanding of Telco
BSS and OSS architectures and applications
•
Good experience of
multiple RDBMS at least including Teradata and Oracle
•
Previous exposure to
database scripting and programming languages at least including BTEQ, SQL*Plus
and PL/SQL
•
Experience with
Informatica ETL
•
Experience with
Business Intelligence suites at least including Business Objects and
MicroStrategy
•
Understanding of data
management applications such as Master Data Management
•
Data pipeline
integration: supporting millions/billions of daily transactions. Experience in
stream event message technologies with exposure to messaging frameworks like
Kafka or RabbitMQ
•
Experience in Big
Data, Data Analytics. Experience with Hadoop MapReduce, Spark, Pig, Hive,
realtime data streaming and event monitoring, Data ingestion (sqoop, flume,
streamsets&kafka), RT-analytic engine,
•
Hadoop cloudera
solution, spark streaming, spring cloud data flow, python coding for big data,
Apache Ceode, Solr Elastic, store (HDFS, Kudu, No SQL Hbase)
•
Knowledge of vendor
products such as HPE Vertica, SAP Hana, ATOS CODEX
•
Understand common
integration services: REST API exposure
Qualifications – Required education, minimum work years’
experience
•
Bachelor’s degree in a
technical field (i.e. Computing)
•
Technical
certifications especially in vendor products is highly advantageous (Strong
integration, networking and security fundamentals)
•
10 to 15 years’ total
work experience, with knowledge and experience in ICT, Telecom, and/or Tech.
professional services - B2B sector(s) preferred
•
Must have several
years of data architect experience and have worked on large scale data
migration programs
Responsibilities
•
Drives and manages the
creation of a company data and insight strategy
•
Work with business, IT
and network stakeholders to ensure the data architectures address business and
IT objectives
1: Data Modelling & Data Migration support:
•
Defines the data models for the product,
customer and service feature structures on the target architecture in
collaboration with the Product and BI teams
•
Understands the legacy data models [for customer
services and commercial products] and how they must be mapped and where
necessary migrated to new target data models and integrated to target BI
analytics platform
•
Works with the business, BI, IT teams to support
the definition of the co-existence and data migration strategy
•
Drives data cleansing program and helps ensure
certain target KPIs for data accuracy and consistency are reached
•
Performs data analysis activities including data
profiling, creation of data dictionaries, data transformation rules and
integration requirements
•
Creates the data archiving approach
•
Ensures data consistency across master-slave
applications
•
Develops, documents and maintains logical and
physical data models for all applications
2: Data Platform Architecture
•
Designs a high performance data analytics and
insights architecture, linking together the program between IT, OSS /networks
and BI teams
•
Brings together Big data, MPP DWH, BI,
Analytics, AI&ML, Data streaming, batch/real- time data processing into a
coherent strategy and defines associated implementation tracks
•
Designs and creates a real-time data platform
that will be used to provide the necessary real-time customer insights data to
target applications such as CVM [for real-time campaigns], channels for
customer profile and contextual based advertising of offers. The use of a
variety of data sources such as network information, IT customer information
and geo-location is expected
•
Responsible for designing the target
architecture in close alignment with and in consideration of the big data
platform and DWH strategy under OSS and BI teams in order to support use cases
such as: revenue protection (fraud & churn), customer experience (QoS,
QoE), CVM (NBA), revenue generation (mobile ad, credit card), and data
monetization (B2B services etc.)
•
Produces Technical Impact Analysis, estimates of
effort for project delivery and Technical Options to help make key decisions
•
Produces application designs for Data Management
systems (Enterprise Data Warehouse, Operational Data Stores and ETL, amongst
others) that include data models, data flows and cover all required data
scenarios
•
Drives data integration solutions and is
responsible for the design and architecture to integrate necessary data
components with various target systems
•
Signs off on the SoW, integration specifications
and works with the vendor(s) on the detailed design alignment and sign-off
•
Accountable and
responsible for the successful scoping of the go-live solution and ensures all
target design timelines are strictly adhered to
•
Defines all phases and
tracks what needs to be implemented; scopes the tracks and hands over to
implementation teams to deliver
•
Contributes to the
Greenfield RFP vendor selection and definition of target application,
information, integration, data architecture and transition phases of the roadmap
with the other domain architects
•
Supports parallel
business transformation tracks such as financial business case, customer
experience and product portfolio / rationalization
•
Authors the
contractual technical scope of work with selected vendor(s) an is expected to
contribute to the definition of the non-technical scope
•
Member of Design
authority and formalizes the approval process for high level designs and
deliverables
•
Ensures delivery teams
adhere to designs and architecture captured in the Enterprise Architecture (EA)
repository
Key deliverables
D1 - Customer and Product data analysis
D2 - Detailing data migration solution and
approach
D3 - Setting data cleanse and accuracy target
KPIs and driving cross-functional teams to achieve targets
D4 - Define target data models and associated
solution
D5 - Define data flows and integration points
[with API architect]
D6 - Define conceptual target e2e data
platform architecture [holistically covering TDWH, Big data, Analytics, event
streaming, etc.]
D7 - Define data ETL solution from new BSS
stack into the target BI platform
D8 - Define all phases & track what needs
to be designed and implemented for supporting capabilities aligned with
business launch phases
D9 - Scope the tracks and hand-over to implementation
teams to deliver
D10 - Legacy and new stack co-existence
D11 - High level design artefacts and approvals
D12 - With vendors and delivery teams: LLD
artefact generation and approvals
D13 - Define and design according to integration
KPIs
Joining time frame: (15 - 30 days) Terms and conditions
The selected candidates shall join VAM Systems - UAE and
shall be deputed to one of the Organizations in UAE.
Should you be
interested in this opportunity, please send your latest resume in MS Word
format at the earliest at joinus@vamsystems.com