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NCR Atleos
NCR Atleos
FintechÎntreprindereServicii bancare
NCR Atleos dezvoltă tehnologii financiare de autoservire pentru bănci, instituții financiare și comercianți cu amănuntul din întreaga lume. Produsele și serviciile sale includ bancomatul ca serviciu, software pentru bancomate, operațiuni de bancomate gestionate, acces la numerar fără card și retrageri de numerar prin telefonul mobil. Prin combinarea infrastructurii pentru bancomate, a software-ului și a externalizării end-to-end, compania ajută organizațiile să extindă accesul la numerar, simplificând în același timp operațiunile și îmbunătățind experiența clienților. NCR Atleos operează o rețea globală independentă de bancomate și colaborează cu sectoarele bancar, fintech și al tehnologiei pentru întreprinderi.
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Solution Architect, Data Modeling – NCR Atleos (Karachi Hybrid)

NCR Atleos is seeking a Solution Architect/Data Modeler in Karachi to design scalable enterprise data architectures. The role covers data modeling, warehousing, integrations, and governance standards.

PKPakistanHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de soluții
CloudETLHadoopKafkaSQL

Descriere

  • Create and maintain conceptual, logical, and physical data models.
  • Design scalable, high-performance data structures for enterprise applications, warehouses, analytics, reporting, and real-time environments.
  • Establish source-to-target mappings, transformation rules, data structures, and integration requirements for ETL/ELT, migration, and consolidation initiatives.
  • Develop dimensional models, including star and snowflake schemas, for reporting, business intelligence, analytical workloads, and downstream data use.
  • Align data models with governance principles, modeling standards, naming conventions, metadata requirements, data quality expectations, and architectural guidelines.
  • Assess and improve logical and physical models to support query performance, scalability, maintainability, and efficient data-platform use.
  • Work with data and solution architects, engineers, developers, business analysts, and business stakeholders.
  • Record data models, design decisions, definitions, and technical recommendations.
  • Advise development and implementation teams on data modeling and architecture practices.

Cerințe

  • Hold a bachelor's or master's degree in computer science, engineering, information technology, data management, or a related discipline.
  • Bring at least five years of experience in data modeling, data architecture, data warehousing, or comparable data-focused roles, preferably in large enterprise settings.
  • Demonstrate strong experience creating conceptual, logical, and physical data models.
  • Have strong knowledge of relational databases, SQL, normalization, denormalization, keys, relationships, constraints, and dimensional modeling.
  • Have hands-on experience with data warehousing, OLTP/OLAP architectures, ETL/ELT, data integration, and source-to-target mapping.
  • Be experienced with modeling and design tools such as Erwin, ER/Studio, Data Vault, or equivalent enterprise platforms.
  • Understand data governance, quality, metadata management, lineage, standards, and data architecture principles.
  • Have experience working with large-scale enterprise platforms and complex environments spanning multiple source systems and data domains.
  • Demonstrate strong analytical and problem-solving ability.
  • Communicate effectively through documentation, presentations, stakeholder collaboration, and technical discussions.
  • Cloud data platforms and modern data architectures are preferred.
  • Experience with Teradata, Hadoop, Hive, Impala, Kafka, Snowflake, Databricks, or comparable technologies is preferred.
  • Experience with real-time or streaming data and analytical platforms is preferred.
  • Experience in telecommunications, financial services, or other large enterprise environments is preferred.
  • Understanding AI/ML data requirements and data architecture is preferred.
  • Experience with Agile or Scrum methodologies is preferred.
  • Employment offers depend on successfully passing the screening criteria applicable to the role.

Beneficii

  • Employment offers depend on successfully passing the screening criteria applicable to the role.

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