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 AWS Data Pipeline Professionals in the following areas :

AWS Data Developer (Python / PySpark)
Exp : 5+ Years
Job Summary
We are seeking a highly skilled AWS Data Developer with solid expertise in Python, PySpark, and AWS data services to design and build scalable data processing solutions. The ideal candidate will be responsible for developing robust ETL pipelines, optimizing data workflows, and leveraging AWS services to support business.
Key Responsibilities

Design and implement scalable data pipelines using AWS services
Develop ETL workflows using AWS Glue,



PySpark, and Python
Build serverless data processing solutions using AWS Lambda
Orchestrate workflows using AWS Step Functions
Manage and optimize data storage in AWS S3
Work with relational databases like AWS RDS (MySQL)
Ensure data quality, validation, and governance
Optimize performance and cost of data pipelines
Debug and troubleshoot data-related issues
Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)

Required Skills & Experience

5+ years of experience in data engineering / AWS development
Strong proficiency in Python
Hands-on experience with PySpark for large-scale data processing
Expertise in AWS services:

AWS Glue (ETL jobs)
AWS Lambda
AWS Step Functions
AWS Athena
AWS S3
AWS RDS (MySQL)

Strong knowledge of SQL and data querying
Familiarity with IAM roles and AWS security best practices

Preferred Skills

AWS Certification (e.g., AWS Certified

📌 Sr. Software Engineer (Pune)
🏢 Yash Technologies
📍 Pune