Azure Databricks Architect

TCS Hiring for skill "

Role:

Experience:

Work Location:

Technical/Functional Skills:

Technology- ADF, data bricks,data lake, power BI, automation, Azure AD, Azure monitor, Azure Analysis services, Synapse, Predictive analytics & machine learning

Roles & Responsibilities:

Area of Expertise:

• Analytical and soft-spoken candidate with good knowledge of data and domain.
• Depth knowledge of upstream system processes like ERPs, CRM, and Sales Operations including territory and quota management systems, pricing systems, contract management systems, master data management system Process and Data profiling focusing on Business Intelligence and Analytics.
• E2E Architecture, Low-level solution Design, Data management and processing flow, Data modeling, Integration Techniques, Real-time data processing flow Working closely with Architects and technical leads of other tracks to integrate technology and functionality Conducting solution design reviews with Stryker Leads and accommodating feedback

Technical Depth:

1. Data warehousing and Business Intelligence
2. Enterprise data warehouse & ODS
3. Cloud Data Implementation Azure
4. Data storage design– Dimensional, Relational, NoSQL
5. Worked in MPP database & architecture
6. Worked in secure architecture
7. Data Lake – ADLS, AWS Lake Formation
8. Cloud Data Warehouse - Azure Synapses ( Must have), Snowflake
9. Data Modelling - Normalised, Data Mart
10. Modelling (Star & snowflake schema),EDW & ODS
11. Working knowledge of ML/Predictive Model: - Linear regression, logistic model,
12. Statistical Modelling: -Exploratory Analysis,
13. Data Integration - ETL Batch, Real-Time
14. Streaming and Data Services
15. Master Data Management, Reference Data Management

Hands-on experience/duties:

1. Techno/functional expertise in providing application process analysis, architecture and system design, systems development, testing, and deployments
2. Formulating deployment strategies to ensure reliability and scalability for the commercial Analytics platform.
3. Providing feedback and directions for technical design, prototypes/mock-ups, development, testing, and delivery of solutions for release cycles and/or new projects within Global data and analytics.
4. Assessing technological risks that could jeopardize the growth and/or operations of the organization; making recommendations on applications retirement.
5. Demonstrating expertise in a variety of systems development concepts, practices, and procedures.
6. Developing and building robust integration with Infrastructure, Security, Governance, Service Delivery, etc.,
7. Ensuring clear communication between business stakeholders and IT technical teams.
8. Reviewing and Governing business process documents, application and technical specifications, test plans, and cutover plans for go-live sites.

Note: