Senior Data bricks Engineer

Responsibilities
We are looking for Senior Cloud data Engineer having at least 10+ years of industry experience in building Enterprise data warehouse solution using Spark with Scala or python and also Investment bank domain knowledge of at least 8+ year. Candidate is expected to be in office (in Person) at least 3 times a week. 
This person will be responsible to develop the framework required to load and transform data into a data vault modeling design to consume gigabyte of historical data for daily reporting purposes. 

Skills
Must have 
Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related technical discipline 
Total experience in IT - 15 years. 
At least 10+ years of experience in working in large global teams, especially for high-performance, large-scale systems data warehouse solution using Data bricks , Spark (Python/Scala) 
Microsoft Azure experience is a must 
Spark/Data bricks batch and streaming solutions (Delta Lake, Lake house) 
Knowledge of Azure Data Factory and Cosmos DB 
Knowledge of Kafka, Event hubs and ADLS Gen2 on Microsoft Azure 
Understanding of dev ops tools and engineering practices using micro-services, ci/cd pipeline and test automation 
Cloud technologies & design patterns 
building and optimizing ‘big data’ data pipelines, architectures, and data sets 
proven skills in performance tuning and quality improvements 
Strong in Algorithms and Data Structures 
Infrastructure-as-code, using tools such as Terraform, ARM, Bicep or Cloud Formation 
Azure CLI, setting up ADO pipelines, Terraform Enterprise, etc 

Nice to have 
finance/banking