
AI Data Engineer
3 days ago
About Us, a boutique AI and data engineering firm.
- You will act as a key member of the consulting team helping clients to re-invent their corporate finance function by leveraging advanced analytics.
- You will be closely working directly with senior stakeholders of the clients designing and implementing data strategy in finance space which includes multiple use cases viz. controllership, FP&A and GPO.
- You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies.
Key Responsibilities:
- Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP).
- Design, develop, and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions.
- Ensure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains, along with coordinated roll-out and adoption strategies.
Data Architecture Expertise:
- Familiarity with Data Mesh, Data Fabric and Data products, Data Contracts and experience in data mesh implementation.
- Demonstrated experience in delivering multiple data and analytics solutions on GCP.
- Strong understanding and practical experience with different data modelling techniques—Relational, Star, Snowflake, Data Vault etc.
- Experience with enterprise data management i.e. Data Quality t, Metadata management, Data governance, Data Observability using GCP-native or third-party tools.
Requirements:
- Demonstrated expertise in data architecture and analytics.
- Ability to design and implement data solutions on GCP.
- Experience with data mesh and data fabric.
- Strong understanding of data modeling techniques.
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