Data Engineer

Job Description – Azure Data Engineer Role:

Azure Data Engineer Required Technical Skill Set:

Python, Data Engineering, PySpark, Azure Cloud, Databricks, CosmosDB Experience Range:

6–13 Years Locations:

Pune, Bangalore, Delhi Role Overview We are seeking a highly skilled and motivated

Senior Azure Data Engineer

to join our engineering team. The role involves designing and building robust, scalable data pipelines, working with cross‑functional teams, and contributing to high‑quality, maintainable data solutions on the Azure ecosystem. Technical Skills Programming:

Python Big Data:

PySpark Cloud Platform:

Azure Cloud Data Engineering Tools:

Databricks, Unity Catalog NoSQL Databases:

CosmosDB, MongoDB, etc. Additional:

Basic understanding of Data Science concepts Key Responsibilities Design, build, and maintain

data transformation pipelines

using PySpark and Databricks. Efficiently manage and process

large datasets . Manage and optimize

NoSQL databases , specifically CosmosDB. Implement and maintain

complex data calculation logic and formulas . Collaborate closely with software engineering teams for integration and delivery. Participate in

code reviews, design discussions, and sprint planning . Contribute to

automation, testing, and deployment

processes to improve development efficiency. Mindset & Working Approach Strong

problem‑solving mindset

with the ability to tackle complex data challenges. Technically curious, eager to explore cross‑functional solutions. Commitment to

continuous learning

and staying updated with industry trends. Highly

detail-oriented

with a strong focus on code quality and engineering excellence. Soft Skills Clear and effective

communication skills in English . Balanced approach to

collaboration and autonomy

within a team environment. Optional / Good-to-Have Skills Knowledge of

Data Science concepts

and methodologies.