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 Professionals in the following areas :

Job description:

Experience required: 3-5 years

Requirements :

Job Summary

We are looking for a highly motivated and experienced Data Engineer to join our data engineering team. The ideal candidate will have a strong background in building scalable data pipelines using the AWS cloud stack and extensive hands-on experience with Snowflake. Proficiency in Python and SQL, along with graph and vector database technologies, is essential.



This role requires strong problem-solving abilities and a proactive mindset to deliver productive, scalable, and reliable data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Redshift, and EMR.

• Build and optimize data warehousing solutions using Snowflake, including performance tuning and data modeling.

• Write efficient and reusable code in Python and SQL for data transformation and processing.

• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements.

• Integrate vector databases with LLM-based applications and AI workflows.

• Monitor, troubleshoot, and improve pipeline performance and reliability.

• Ensure data quality, integrity, and security across all stages of the pipeline.

• Participate in code reviews, architecture discussions, and continuous improvement initiatives.

Required Quali

📌 Data Engineer (India)
🏢 Yash Technologies
📍 India