Sr. Software Engineer - AWS Glue Job
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 :
We’re looking for a Sr. 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
Our Hyperlearning workplace is grounded upon four principles
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 :
We’re looking for a Sr. 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.
- 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
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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