Hybrid Chicago IL / Lafayette LA / Nashville TN / Richardson TX
Job Summary
STAFFXPERT LLC is seeking an AWS Data Engineer on behalf of our client in multiple U.S. locations. This role is responsible for designing developing and optimizing scalable cloud-based data pipelines and ETL solutions within an AWS ecosystem. The ideal candidate will bring strong expertise in PySpark Python AWS Glue and relational databases along with a passion for building high-performance reliable and secure data platforms.
Key Responsibilities
Design build and maintain scalable ETL and data processing pipelines using Python PySpark and AWS Glue
Develop cloud-native data solutions leveraging AWS services such as S3 Lambda Step Functions ECS SNS and SQS
Optimize Spark jobs SQL queries and data workflows for performance and scalability
Develop and maintain PL/SQL scripts and database solutions in Oracle PostgreSQL or similar relational databases
Implement software engineering best practices including version control automated testing CI/CD and code reviews
Monitor production data environments troubleshoot issues and perform root cause analysis
Collaborate with cross-functional teams including architects developers analysts and business stakeholders
Maintain technical documentation and support operational excellence initiatives
Required Qualifications
Strong hands-on experience building production-grade data pipelines using Python and PySpark
Expertise with AWS cloud services including S3 Glue Lambda Step Functions ECS SNS and SQS
Strong SQL and PL/SQL development experience with relational databases such as Oracle or PostgreSQL
Experience with Spark performance tuning and large-scale data processing
Solid understanding of software development best practices including Git testing and CI/CD pipelines
Experience with monitoring observability alerting and production support processes
Strong analytical troubleshooting and problem-solving skills
Excellent verbal and written communication skills
Preferred Qualifications
Experience working with enterprise-scale cloud data platforms
Familiarity with DevOps practices and Infrastructure-as-Code tools
Knowledge of data governance security and compliance standards
Experience working in Agile/Scrum environments
AWS Data Engineer Location Hybrid Chicago IL / Lafayette LA / Nashville TN / Richardson TX Job Summary STAFFXPERT LLC is seeking an AWS Data Engineer on behalf of our client in multiple U.S. locations. This role is responsible for designing developing and optimizing scalable cloud-based data pip...
AWS Data Engineer
Location
Hybrid Chicago IL / Lafayette LA / Nashville TN / Richardson TX
Job Summary
STAFFXPERT LLC is seeking an AWS Data Engineer on behalf of our client in multiple U.S. locations. This role is responsible for designing developing and optimizing scalable cloud-based data pipelines and ETL solutions within an AWS ecosystem. The ideal candidate will bring strong expertise in PySpark Python AWS Glue and relational databases along with a passion for building high-performance reliable and secure data platforms.
Key Responsibilities
Design build and maintain scalable ETL and data processing pipelines using Python PySpark and AWS Glue
Develop cloud-native data solutions leveraging AWS services such as S3 Lambda Step Functions ECS SNS and SQS
Optimize Spark jobs SQL queries and data workflows for performance and scalability
Develop and maintain PL/SQL scripts and database solutions in Oracle PostgreSQL or similar relational databases
Implement software engineering best practices including version control automated testing CI/CD and code reviews
Monitor production data environments troubleshoot issues and perform root cause analysis
Collaborate with cross-functional teams including architects developers analysts and business stakeholders
Maintain technical documentation and support operational excellence initiatives
Required Qualifications
Strong hands-on experience building production-grade data pipelines using Python and PySpark
Expertise with AWS cloud services including S3 Glue Lambda Step Functions ECS SNS and SQS
Strong SQL and PL/SQL development experience with relational databases such as Oracle or PostgreSQL
Experience with Spark performance tuning and large-scale data processing
Solid understanding of software development best practices including Git testing and CI/CD pipelines
Experience with monitoring observability alerting and production support processes
Strong analytical troubleshooting and problem-solving skills
Excellent verbal and written communication skills
Preferred Qualifications
Experience working with enterprise-scale cloud data platforms
Familiarity with DevOps practices and Infrastructure-as-Code tools
Knowledge of data governance security and compliance standards