Tech Lead - Microsoft Azure Job @ Yash Technologies

8-10 Years

1. Experience in Azure Fabric, Azure Data factory, Azure Databricks, Azure Synapse , Azure Storage Services, Azure SQL, ETL, Azure Cosmos DB, Event HUB, Azure Data Catalog, Azure Functions, Azure Purview 2. Create Pipelines, datasets, dataflows, Integration runtimes and monitoring Pipelines and trigger runs3. Extract Transformation and Load Data from source system and processing the data in Azure Databricks4. Prepare DB Design Documents for the user story based on the client requirement5. Work with the development team to create database structure, queries and used triggers6. Extensive experience in Microsoft Cloud solutions, i. e. , Designing, Developing, and Testing Technologies 7. Create SQL scripts to perform complex queries8. Create Synapse pipelines to migrate data from Gen2 to Azure SQL 9. Data Migration pipeline to Azure cloud (Azure SQL). 10. Database migration from on-prem SQL server to Azure Dev Environment by using Azure DMS and Data Migration Assistant11. Lift and Shift of the Development Server to Production Server12. Data governance in Azure 13. Data migration pipeline which can migrate on-prem SQL server data to azure cloud (Azure SQL and Cosmos DB)14. Experience in using azure data catalog15. Experience in Big Data Batch Processing Solutions; Interactive Processing Solutions; Real Time Processing Solutions

Domain/ Industry Knowledge:

• Basic knowledge of customers business processes- relevant technology platform or product.


• Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

• Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.


• Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge:

• Working knowledge of technology product/platform standards and specifications.


• Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.


• Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

• Working knowledge of architecture Industry tools & frameworks.


• Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles :

• Working knowledge of architectural elements, SDLC, methodologies.


• Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design:

• Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.


• Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge:

• Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Accountability:

• Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

• Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility:

• Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus:

• Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication:

• Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

• Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict:

• Displays sensitivity in interactions and strives to understand others views and concerns.