Job Description

Data Pipeline Development: Design, build, and maintain high-

performance, scalable ETL/ELT pipelines using Azure Data Factory,

Databricks, and ADLS.


Data Platform Enhancement: Contribute to the development and

optimization of our Azure-based Data Platform, ensuring efficiency,

reliability, and security.


IoT & High-Volume Data Processing: Work with large-scale IoT and

operational datasets, optimizing data ingestion, transformation, and

storage.


Data Governance & Quality: Implement data governance best

practices, ensuring data integrity, consistency, and compliance.


Performance Optimization: Improve query performance and storage

efficiency for analytics and reporting use cases.


Collaboration: Work closely with data scientists, architects, and

business teams to ensure data availability and usability.


Innovation & Automation: Identify opportunities for automation and

process improvements, leveraging modern tools and technologies.

Here's What You'll Bring with You


6+ years of experience in data engineering with a focus on Azure

cloud technologies.


Strong expertise in Azure Data Factory, Databricks, ADLS, and

Power BI.


Proficiency in SQL, Python, and Spark for data processing and

transformation.


Experience with IoT data ingestion and processing, handling high-

volume, real-time data streams.


Strong understanding of data modeling, lakehouse architectures, and

medallion frameworks.


Experience in building and optimizing scalable ETL/ELT processes.


Knowledge of data governance, security, and compliance

frameworks.


Experience with monitoring, logging, and performance tuning of data

workflows.


Strong problem-solving and analytical skills with a platform-first

mindset.

Job Type: Full-time

Pay: ₹100,000.00 - ₹1,200,000.00 per year

Benefits:

Provident Fund
Work Location: In person