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 qual

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