- Detailed reviewing and analyzing structured, semi-structured andunstructured data sources for quality, completeness and business value.

- Design, architect, implement and test rapid prototypes that demonstrate valueof the data and present them to diverse audiences.

- Participate in early state design and feature definition activities.

- Responsiblefor implementing robust data pipeline using Microsoft, Databricks Stack

- Responsiblefor creating reusable and scalable data pipelines

- Youare a Team-Player, collaborating with team members across multiple engineeringteams to support the integration of proven prototypes into core intelligenceproducts.

Requirements

- Advancedworking knowledge and experience with relational and non-relational databases





- Experiencebuilding and optimizing Azure Data data pipelines, architectures and data sets

- Stronganalytic skills related to working with unstructured datasets

- Strongexperience in Azure Data factory, Databricks, Eventhub, Python, PySpark , AzureSynapse and SQL, Azure DevOps

- AzureDevOps experience to deploy the ADF pipelines.

- Createend 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 (India)
🏢 Techcarrot Fz
📍 India