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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data pipelines using PySpark, Snowflake, and AWS, while ensuring adherence to data engineering standards and best practices. Proficient in architecting scalable ELT/ETL workflows and optimizing data processes for analytics in the insurance domain.
Highest-signal resume keywords
Data Pipeline DesignPySparkSnowflakeAWS Cloud ServicesSQL Transformations
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 Pipeline DevelopmentELT/ETL ArchitectureSQLData Quality ValidationPerformance Optimization
Soft Skills
TroubleshootingDocumentation
Tools & Technologies
AWSSnowflakePySpark
Industry Keywords
Data EngineeringInsurance AnalyticsData MigrationCloud-Native Platforms
Tech Stack
Tools & technologiesAWSCloudETLPySparkSQL
About the role
Key responsibilities & impact- Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
- Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases
- Drive data migration and modernization efforts from legacy environments to cloud-native platforms
- Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
- Establish and enforce data engineering standards, coding best practices, and pipeline documentation
- Provide hands-on troubleshooting and performance optimization across the data stack
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Benefits
Comp & perks- Benefits information provided at https://www.exlservice.com/us-careers-and-benefits
