Location: LATAM
100% remote
Contract Length: 12 months
Contract Rate: 20 USD per hour
NTT DATA is seeking a driven Data Engineer (Denodo) to identify and cultivate new business opportunities within the CPG industry, with a focus on our client in the Bottle and Brewing segment. This is a performance-based role centered on relationship development and market access, designed for a professional with established networks in the CPG space who is ready to open doors and create meaningful introductions for our sales and delivery teams.

Responsibilities:
Design, build and maintain the Denodo semantic layer, translating business requirements into governed, reusable views and data products published to the Data Catalog and Data Marketplace.
Optimise query performance end to end through delegation, caching, summary views and model refactoring, so that reports and dashboards meet agreed response time targets.
Integrate new sources (AWS, Oracle, Redshift, APIs and enterprise systems) into the virtualization layer, defining connection, security and refresh strategies for each.




Build and evolve the gold layer: curated dimensional models, certified metrics and aggregates that serve as the single point of consumption for analytics teams.
Support the visualization teams as the technical counterpart for data access: model adjustments, aggregate design and troubleshooting of slow or failing reports.
Develop and maintain ingestion and transformation pipelines with Informatica and AWS Glue where physical processing is required upstream of the virtual layer.
Apply and document development standards, naming conventions, modelling patterns and promotion procedures across Dev/QA/Prod environments.
Provide L2/L3 support for the virtualization platform: incident analysis, root-cause investigation, cache and workload tuning, and continuous-improvement backlog.
Collaborate with data governance and security teams to enforce access policies, lineage capture and metadata quality on every published

📌 Ingeniero de datos (México)
🏢 NTT DATA Europe & Latam
📍 México