Software Engineer - AWS Glue

Yash Technologies; Pune District; On-site; INR 900,000 - 1,600,000; Full time

Job summary

YASH Technologies, Inc. in Pune invites an AWS Glue professional to join our data engineering team. You will design and optimize ETL/ELT pipelines using AWS, Python, and Snowflake to deliver scalable cloud-native data solutions.

Collaborate with architects and stakeholders to gather requirements, ensure data quality and governance, and troubleshoot production issues while driving performance and cost efficiency.

Qualifications

• Experience with AWS Glue, Python, and Snowflake in data engineering contexts.
• Experience in designing scalable ETL/ELT pipelines.
• Knowledge of data governance, quality, and security best practices.

Responsibilities

• Analyze, understand, and enhance existing data engineering frameworks and architectures.
• Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering practices.
• Hands on exp in Snowflake development including stored procedure of 1+ years.
• Leverage AWS services to build and optimize cloud-native data solutions.
• Develop and maintain Python-based frameworks for data ingestion, transformation, orchestration, and automation.
• Support the modernization of legacy data platforms by implementing scalable, secure, and high-performance solutions.
• Collaborate with architects, business stakeholders, and engineering teams to gather requirements and deliver data solutions.
• Optimize data workflows for performance, reliability, and cost efficiency.
• Ensure data quality, governance, and compliance standards are maintained throughout the data lifecycle.
• Troubleshoot production issues and provide timely resolution for critical data processes.
• Contribute to technical documentation, best practices, and knowledge-sharing initiatives.

Skills

AWS Glue

Python

Snowflake

ETL/ELT pipelines

Data engineering

Job description

We are looking forward to hire AWS Glue Professionals in the following areas :

Experience

1. 5-4 Years

JD: SSE AWS + Python + Snowflake

• Analyze, understand, and enhance existing data engineering frameworks and architectures.
• Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering practices.
• Hands on exp in Snowflake development including stored procedure of 1+ years.
• Leverage AWS services to build and optimize cloud-native data solutions.
• Develop and maintain Python-based frameworks for data ingestion, transformation, orchestration, and automation.
• Support the modernization of legacy data platforms by implementing scalable, secure, and high-performance solutions.
• Collaborate with architects, business stakeholders, and engineering teams to gather requirements and deliver data solutions.
• Optimize data workflows for performance, reliability, and cost efficiency.
• Ensure data quality, governance, and compliance standards are maintained throughout the data lifecycle.
• Troubleshoot production issues and provide timely resolution for critical data processes.
• Contribute to technical documentation, best practices, and knowledge-sharing initiatives.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture