Description

Required Qualifications:
Azure Cloud Data Solutions (Data Lake, Databricks, distributed systems) – 5+ yrs
AI/ML Architecture (end-to-end pipeline: ingestion → training → deployment → monitoring)
DataEngineering (Spark, Hadoop, MapReduce)
DataModeling + DB Systems (relational + NoSQL)

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks)
Proven track record of successfully designing and implementing cloud-based data solutions in Azure
Deep understanding of data modeling concepts and techniques.
Strong proficiency with database systems (relational and non-relational).
Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software.


Preferred Qualifications:
Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake).
Expertise in big data technologies (e.g., Hadoop, Spark).
Strong understanding of data security and governance principles.
Experience in scripting languages (Python, SQL).

Additional Skills:
Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges.
Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership.


Mandatory - no exceptions - education - B. Tech in Computer Science

Education - Very important only Btech in Computer Science degree is allowed. or B E in Computer Science. The degree has to be 4 years , and with major - Computer Science.
 

Key Skills

Education

Any Graduate