Perficient Digital Trabajos En Colombia - 25 Job Positions Available

Provide end-to-end solution architecture for PIM implementations, including integration with third-party systems and enterprise platforms. Design and develop scalable, high-quality solutions addressing complex business requirements within PIM, commerce, and data ecosystems. Lead Proof of Concept (PoC)

Design, develop, and implement scalable data integration and migration solutions across multiple enterprise systems. Analyze source and target data structures to define data mapping, transformation, and migration requirements. Design, optimize, and maintain Elasticsearch indices to support

The Senior Data Project Manager will oversee end-to-end delivery of enterprise data projects involving cloud platforms, data pipelines, integrations, analytics, and business intelligence solutions. The role requires familiarity with AWS, Microsoft Azure, or Google Cloud Platform,

Design and develop data pipelines to ingest, transform, and synchronize data into Algolia indices. Build and maintain scalable ETL/ELT processes supporting search and content discovery use cases. Optimize indexing performance, data quality, and search relevance. Collaborate

Design, develop, and maintain scalable data pipelines and data models. Build and optimize datasets, semantic layers, and data marts for Tableau reporting. Develop, enhance, and support Tableau dashboards, visualizations, and reporting solutions. Partner with business stakeholders

Design and maintain data ingestion and indexing pipelines within the Coveo Platform. Integrate structured and unstructured data sources including SharePoint, Salesforce, CMS platforms, and internal repositories. Configure metadata, schemas, field mappings, and content enrichment processes. Develop

Gather, analyze, and document business and data requirements from stakeholders. Translate business requirements into detailed functional specifications and data mappings. Perform end-to-end Source-to-Target Mapping (STM) for data migration, integration, and reporting initiatives. Leverage Databricks Genie and

Lead end-to-end data migration activities from legacy systems to target platforms. Perform data profiling and data quality assessments to identify gaps and inconsistencies. Develop and maintain Source-to-Target Mapping (STM) documentation. Define business rules and transformation logic

Lead end-to-end data onboarding, integration, migration, and remediation efforts. Define and execute data readiness strategies to support business and technical objectives. Coordinate cross-functional teams including Data Engineers, Data Analysts, Architects, and Business Stakeholders. Drive delivery execution

Design, build, and maintain end-to-end data pipelines for ingestion, transformation, and delivery of large-scale data. Develop and optimize data processing logic using PySpark on Databricks (Apache Spark). Implement ETL/ELT pipelines integrating data from multiple structured and

Design, configure, and implement Akeneo PIM solutions based on business requirements. Define and maintain product data models, taxonomies, attributes, classifications, and product hierarchies. Integrate Akeneo with ERP, eCommerce, CRM, DAM, and other enterprise platforms. Support data

Lead business discovery sessions, stakeholder interviews, and requirements workshops. Gather, document, and manage business, functional, and process requirements. Drive PIM and MDM initiatives, ensuring alignment between business objectives and solution capabilities. Collaborate with stakeholders to define