Yash Technologies

Sr. Software Engineer - AWS Glue Python SQL Job

Yash Technologies pune, Maharashtra, India

IT Services and IT Consulting · 5,001-10,000 employees

Oct 22
python Senior (5-10 yrs) Full-time India
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About the role

Design, build, and maintain scalable data pipelines and ETL/ELT processes using AWS services. Collaborate with stakeholders to analyze data, ensure quality, and deliver reliable data solutions.

What they look for

Python SQL AWS Glue Amazon S3 AWS Lambda Amazon Redshift Amazon Athena Data Engineering ETL/ELT Data Analysis Data Modeling Insurance Domain Knowledge Data Quality Cloud Computing CI/CD

Requirements

Requires 4-6 years of experience in data engineering with strong proficiency in Python and SQL. Candidates must have hands-on experience with AWS data services and a solid understanding of the insurance industry.

Benefits

Flexible work arrangements Continuous learning opportunities Inclusive team environment

Full description

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 Glue Professionals in the following areas :

Senior Data Engineer -- AWS Glue Python SQL

Role Overview

We’re looking for a Data Engineer with 4–6 years of experience building and maintaining reliable data solutions. The ideal candidate has strong skills in Python, SQL, AWS, and data analysis, communicates clearly with technical and business teams, and understands the insurance domain.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes.
  • Develop and optimize Python and SQL code for data ingestion, transformation, validation, and reporting.
  • Build and support cloud-based data solutions on AWS, using services such as Amazon S3, AWS Glue, Lambda, Redshift, and Athena.
  • Analyze data to identify trends, anomalies, quality issues, and opportunities for improvement.
  • Work with analysts, product owners, and business stakeholders to understand requirements and deliver trusted data.
  • Apply data quality checks, monitoring, and documentation to ensure data is accurate, secure, and reliable.
  • Troubleshoot pipeline and data issues, identify root causes, and implement lasting fixes.
  • Follow security, governance, and compliance practices when handling sensitive data.

Required Qualifications

  • 4–6 years of professional experience in data engineering or a closely related role.
  • Strong proficiency in Python and SQL, including writing and optimizing queries.
  • Hands-on experience designing and supporting data pipelines in AWS.
  • Experience with data analysis, data profiling, and validating results.
  • Knowledge of data modeling concepts and relational databases.
  • Insurance industry experience or a solid understanding of insurance data and business processes.
  • Strong written and verbal communication skills, including the ability to explain technical topics to nontechnical audiences.
  • Ability to collaborate across teams and manage multiple priorities.
  • Preferred Qualifications
  • Experience with AWS services such as S3, Glue, Lambda, Redshift, Athena, and CloudWatch.
  • Familiarity with insurance data such as policy, claims, billing, customer, or underwriting data.
  • Experience with data warehousing, reporting, or business intelligence tools.
  • Familiarity with version control, automated testing, and CI/CD practices.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

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

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