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 asset.
- Contribute to technical estimation, solution design reviews and knowledge transfer to other engineers.
Required Experience:
- Logical modelling and layering: base views, derived views (join, union, selection, projection, aggregation, flatten) and interface views; disciplined separation between source, integration and business/semantic layers; naming conventions, reusability and version control of metadata.
- Semantic layer for data products: business-friendly models, certified KPIs and metrics, association and hierarchy definition, field-level descriptions and business metadata so that consumers can self-serve without re-modelling.
- Advanced SQL: complex queries, stored procedures, custom functions.
- Query optimization (core requirement): cost-based optimizer, statistics management, query pushdown and delegation to Redshift/Oracle/S3, branch pruning, join strategy selection (merge, hash, nested), partitioned unions, and execution-trace analysis to diagnose and remediate slow queries.
- Acceleration and caching: full, partial and incremental cache strategies, cache refresh scheduling and invalidation, summary views and smart query acceleration, and MPP acceleration over object storage.
- Visualization performance: tuning of the consumption layer for Power BI, Tableau and similar tools: live vs. import trade-offs, aggregate awareness, result set reduction, concurrency and workload management to keep dashboard response times within agreed SLAs.
- Publication and consumption: Data Catalog and Data Marketplace publication, tagging and categorization.
Nice-to-Have:
- Informatica: IDMC (Cloud Data Integration, Cloud Mass Ingestion) or PowerCenter, with mapping and taskflow development, pushdown optimization, and data quality rules feeding the curated layers.
- AWS Glue: PySpark jobs, crawlers and Data Catalog management, and Glue workflows for ingestion and transformation into S3/Redshift.
- Orchestration and DataOps: AWS Step Functions or equivalent schedulers, Git-based workflows, CI/CD pipelines, code review and environment promotion practices.
- Python and SQL for automation, validation and data reconciliation.
Tools & Technologies:
- Medallion architecture: clear understanding of bronze, silver and gold responsibilities, and where virtualization complements or replaces physical persistence at each stage.
- Gold layer construction: dimensional and star-schema modelling, conformed dimensions, slowly changing dimensions, aggregates and business-rule implementation for consumption-ready models.
- Data products: definition of data contracts, ownership, quality expectations, SLAs and versioning; documentation and lifecycle of published assets.
- Working knowledge of Data Mesh and Lakehouse principles and of data governance practices (lineage, cataloguing, stewardship).
Education & Certifications:
- Denodo Platform 9 Certified Developer Associate or Professional
- Denodo Platform 9 Certified Administrator Associate or Professional.
- Denodo Platform 9 Certified Architect Associate
Required Equipment: This role requires the use of a personal laptop. Candidates must be comfortable with company security software and device management tools being installed on their laptop as part of the onboarding process and for the duration of the engagement.
About NTT DATA
NTT DATA is a Top 5 global IT services provider with more than 190,000 professionals across 50+ countries. We combine industry expertise with capabilities in consulting, technology, AI, cloud, applications, infrastructure, and connectivity to help organizations innovate, optimize, and transform. Through responsible innovation, we deliver meaningful business outcomes, accelerate client success, and create a positive impact on society.
Equal Opportunity Employer
NTT DATA is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT DATA is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.
