Data Architect
2 months ago
About Mazenet :
Over 23 years of proven success as a workforce development leader, we deliver impactful Staffing & Corporate Training solutions.
We leverage a strategic blend of innovative thinking, cutting-edge technologies and expert capabilities to cultivate a future-ready workforce.
Our comprehensive approach has empowered over 300 clients, including Fortune 500 Companies, Big 4 Firms and diverse organizations, to train talents across 100+ technologies and software solutions.
Location : Chennai.
Role : Data Architect.
Notice : Immediate Serving Notice.
Required Skills :
- Data Architecture Expertise : Lead the design and implementation of robust, scalable and secure data platform architecture that meet business requirements and industry best practices.
- Solution Design Expertise : Serve as a trusted advisor to our data architecture, data engineering teams, providing guidance on cloud architecture design, implementation strategies and best practices.
- GCP Expertise : Demonstrate proficiency in GCP tools and services, including, BigQuery, CloudSpanner, Dataflow, DataForm, Dataprep, and Healthcare APIs
- Stay abreast of GCP updates and incorporate new features into our architecture.
- Solution Implementation : Guide, mentor and work with the development team translating architectural design into scalable system(s).
- Enable Continuous Integration and Continuous Deployment of data model, data pipelines, etc.
- Healthcare Domain Knowledge.
- Cost Optimization : Analyze GCP Services and spending patterns to identify opportunities for cost optimization.
- Provide architecture recommendations on that selection and resource allocation.
- Arrive at data solution diagrams including data flow diagrams, use case models,. etc.
- Collaborate with Data Modelers, Data Engineers, QA team and stakeholders to ensure thorough understanding of requirements and delivery integrated solution.
- Expert using SQL.
- Advanced experience with ETL/ELT architecture, Data Integration, warehouse implementations and experience with enterprise level ETL/ELT tools.
- Programming language proficiency in Python, etc.
- Advanced understanding of data normalization and denormalization techniques.
- Exposure to batch, real-time, near real-time and various data integration patterns.
- Strong interpersonal skills including the ability to lead and facilitate discussions with business and technical stakeholders from executive level leadership to daily hands-on contributors.
- Expert in time-management and self-directed activity.
- Minimum of 2 Years + experience as an Architect.
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