Senior Denodo Data Engineer
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Job Description
Senior Denodo Data Engineer building secure, scalable data virtualization solutions for WLG’s enterprise clients. Supporting analytics, reporting, operational use cases and AI-enabled data services.
Responsibilities:
- Design, develop and support virtual data views, logical data models and governed data services using Denodo
- Build reusable semantic and logical data layers for consistent, self-service access to trusted enterprise data
- Develop and optimize data-integration and data-virtualization solutions for analytics, reporting, operational and AI use cases
- Integrate Denodo with enterprise applications, databases, APIs, cloud services, files and modern data platforms
- Connect and model data from SAP, Oracle, Salesforce, SQL Server and other structured and semi-structured sources
- Write, optimize and maintain SQL queries, virtual views, transformations and data services
- Support query optimization, caching strategies, performance tuning, troubleshooting and root-cause analysis
- Collaborate with data architects, data engineers, analysts and business teams to gather requirements and deliver scalable solutions
- Apply data governance, security, privacy, access-control and data-quality practices
- Document technical designs, logical and physical data models, source-to-target mappings, implementation details and operational runbooks
Requirements:
- 5-7 years of data-engineering experience
- Hands-on experience with Denodo, including development and support of virtual data views, data services, logical data models and integrations
- Experience with data virtualization, federated queries, logical data layers, semantic modeling or data-service development
- Experience with one or more comparable technologies, such as Collibra or Microsoft Purview, Microsoft Fabric, Azure Synapse Analytics, Databricks, Snowflake
- Strong understanding of data integration, ETL/ELT, data pipelines, data warehousing, lakehouse and analytics concepts
- Experience working with relational, structured and semi-structured data, including SQL, JSON, XML, CSV, Parquet and API-based data
- Familiarity with cloud data ecosystems, preferably Microsoft Azure
- Experience using source control and CI/CD tools such as Git and Azure DevOps
- Experience with SAP, Oracle, Salesforce, SQL Server and other structured and semi-structured sources
Benefits:
- Fully remote work arrangement
- B2B contract
- Occasional travel to the client's office in Amsterdam may be required
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