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Senior Software Engineer – AWS Glue
YASH Technologies. Design, build, and maintain scalable data pipelines and ETL/ELT processes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines and ETL/ELT processes, with strong proficiency in Python and SQL for data transformation and reporting. Familiarity with AWS cloud services and data governance practices is essential for ensuring data accuracy and security.
Highest-signal resume keywords
Python ProgrammingSQL Query OptimizationAWS Data SolutionsData Pipeline DesignData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringETL ProcessesData TransformationData ValidationData ModelingRelational DatabasesData ProfilingData Quality ChecksTroubleshootingData Documentation
Soft Skills
Strong Communication
Tools & Technologies
Amazon S3AWS GlueAWS LambdaAmazon RedshiftAmazon Athena
Industry Keywords
Insurance DomainData GovernanceCompliance Practices
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudETLPythonSQL
About the role
Key responsibilities & impact- 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 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
Requirements
What you’ll need- 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
- Strong communication with technical and business teams
- Understanding of the insurance domain
Benefits
Comp & perks- Flexible work arrangements
- Inclusive team environment
- Career-oriented skilling models
- Continuous learning, unlearning, and relearning opportunities
- Agile self-determination, trust, transparency, and open collaboration
- Support needed for realization of business goals
- Stable employment
- Great atmosphere and ethical corporate culture