YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Data Bricks Professionals in the following areas :

Experience
5+ Years
Job Description
Required Behavioral Competencies

JD for Data Engineer
Responsibilities

Migrate existing code and workloads from Databricks to Azure Synapse .
Refactor pandas-based data transformation logic into scalable PySpark / Azure Synapse Spark implementations
Develop, enhance, and support data products that serve business and analytics needs.
Write and optimize SQL for data extraction, transformation, validation, and reconciliation.




Design and build reliable data pipelines and data processing workflows.
Work with structured and semi-structured data to support downstream data products.
Validate migrated code and data outputs to ensure accuracy and consistency.
Troubleshoot issues across data pipelines, scripts, and Azure-based environments.
Collaborate with data analysts, engineers, and business stakeholders to understand requirements and deliver solutions.
Document technical solutions, migration changes, and data product logic.
Support code reviews, testing, and deployment activities.

Required Technical Skills

Strong hands-on experience with Azure Synapse
Solid hands-on experience with Spark/PySpark
Hands-on experience with Microsoft Fabric
Proficiency in SQL and Python
Experience working with pandas and re-factoring into PySpark and Azure Synapse Spark implementations
Strong experience using Git and Azure DevOps for source control, pull requests, CI/CD pipeli

📌 Module Lead (Hyderabad)
🏢 Yash Technologies
📍 Hyderabad