As a Data Engineer in our team, you will be responsible for assessing complex new data sources and quickly turning these into business insights. You also will support the implementation and integration of these new data sources into our Azure Data platformResponsibilities:· You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.· You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.· You participate in early state design and feature definition activities.· Responsible for implementing robust data pipeline using Microsoft ,Databricks Stack· Responsible for creating reusable and scalable data pipelines· You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.Skills:· Advanced working knowledge and experience with relational and non-relational databases· Experience building and optimizing Azure Data data pipelines, architectures and data sets· Strong analytic skills related to working with unstructured datasets· Strong experience in Azure Data factory, Databricks, Eventhub, Python,PySpark , Azure Synapse and SQL, Azure Devops· Azure Devops experience to deploy the ADF pipelines.· Create end to end Azure dQualifications and Experience:
Minimum 4-6 years of experience
Bachelor’s degree
Knowledge/Experience with Azure cloud stack.
Azure Data Platform exp should be more than 4 years
