Detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.
Design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
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.

Requirements

Advanced working knowledge and experience with relational and non-relational databases




Experience building and optimizing Azure Data data pipelines, architectures and data sets
Solid 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 databricks
Minimum 4-6 years of experience
Bachelor’s degree
Knowledge/Experience with Azure cloud stack.
Azure Data Platform & Databricks exp should be more than 4 years

📌 Data Engineer (Hyderabad)
🏢 Techcarrot Fz
📍 Hyderabad