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

Strong analytic skills related to working with unstructured datasets

Solid 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