Data Architect - ETL Tools (3-5 yrs)

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.