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.
- Robust 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.

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr. Software Engineer - AWS Glue Python SQL (Pune)
🏢 Yash Technologies
📍 Pune