High proficiency and 8 10 years of experience in designing/developing data analytics and data warehouse solutions with Azure Data Factory (ADF) and Azure Data Bricks.

Experience in designing large data distribution, integration with service-oriented architecture and/or data warehouse solutions, Data Lake solution using Azure Databricks with large and multi-format data

Ability to translate working solution into implementable working package using Azure platform

Good understanding on Azure storage Gen2

Hands on experience with Azure stack (minimum 5 years)

Proficient coding experience using Spark (Scala/Python), T-SQL
Understanding around the services related to Azure Analytics, Azure SQL, Azure function app, logic app
Good to have knowledge in Kafka streaming Azure Infrastructure
A proven track of work experience in cloud deployments (MS Azure preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, SQL and noSQL databases, and test-driven development.
Understanding of full stack (backend, frontend, network, OS, middleware, etc)
You hold a relevant bachelor s degree or equivalent. You are a strong communicator, fluent in English, from making presentations to technical writing.Good communication to understand and explain clearly the requirements and the solution and can help in documenting the solutions, programming changes and problems and resolutions
Should be able to demonstrate a constant and quick learning ability and to handle pressure situations without compromising on quality
Well organized and able to manage multiple projects in a fast-paced demanding environment.
Attention to detail and quality; excellent problem solving and communication skills.
Ability and willingness to learn new tools and applications.

Azure Databricks, Azure Data Factary

Technical Lead- Azure Data Engineer & Azure Databricks