Data Engineer

1 day ago

Navi Mumbai, Maharashtra, India Credit Agricole Cib Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Role & responsibilities

  • Design and Build Virtual Data Layers - Design logical data models and virtual views that integrate data from multiple sources (databases, APIs, cloud, files, etc.) without physically replicating the data.
  • Implement Data Integration via Virtualization - Connect, blend, and expose data from heterogeneous systems using data virtualization tools while ensuring security and governance.
  • Work with Business and Analytics Teams such as Architects, Data Scientists, Business Analysts and BI develpers to deliver virtual dataset for their operational use.
  • Performance Tuning and Query Optimization Optimize virtualization layers for efficient query execution and caching strategies.
  • Security and Governance Implementation - Enforce row/column-level security, data masking, and role-based access controls in the virtual layer. Ensure compliance with data governance, lineage, and auditability standards.
  • Keep up the Data Virtualization Infrastructure work with platform teams to administer, upgrade and study new features of data virtualization platform. Provide assistance and support for all expert consultations (L3 support).
  • Evaluate and Recommend Tools/Practices stay updated on trends in data virtualization, data mesh and modern data stack. Recommend new pattern and practices to improve agitiy, performance and scalablity.
  • Support agile data delivery participate in agile ceremonies, deliver incremental virtual data sets aligned with user needs. Ensure CI/CD practices are setup and used on the platform.

Preferred candidate profile

  • Experience with Data Virtualization tools such as Denodo, dDremio, Starburst, or similar platforms.
  • Understanding of data mesh, data fabric, or logical data warehouse concepts.
  • Experience working in cloud environments (e.g., Azure, AWS, GCP) and hybrid data architectures.
  • Exposure to containerization and orchestration tools like Docker and Kubernetes.
  • Familiarity with DevOps or CI/CD practices for data pipelines and virtual layer deployment.
  • Experience with metadata management, data catalogs, and lineage tools.

Other Professional Skills and Mind-set

  • Proficiency Denodo Platform Certification (e.g., Denodo Certified Developer/Architect).
  • Exposure to Agile delivery, product-oriented data architecture, or cross-domain data services.

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