{"schemaVersion":"jobsearcher.job.v1","id":"c0ddbb0a33a4afba224e6c49","url":"https://jobsearcher.com/jobs/c0ddbb0a33a4afba224e6c49","canonicalUrl":"https://jobsearcher.com/jobs/c0ddbb0a33a4afba224e6c49","title":"AWS Data Engineering","description":"We are seeking an experienced Senior ETL Developer with strong hands-on expertise in AWS cloud services, Python, PySpark, SQL, and large-scale enterprise data processing.\r\nThe ideal candidate will be responsible for designing, developing, optimizing, and maintaining scalable ETL pipelines and data analytics solutions within the AWS ecosystem.\r\nKey Responsibilities:Design, develop, implement, and optimize enterprise-scale ETL pipelines and backend data processing solutions.\r\nBuild and maintain scalable data pipelines using AWS Glue, Python, PySpark, and SQL.\r\nDevelop complex SQL queries, stored procedures, and data transformation workflows.\r\nWork with AWS services including S3, Redshift, Lambda, Step Functions, RDS, CloudWatch, SNS, SQS, and EventBridge.\r\nPerform data cleansing, profiling, transformation, and workflow scheduling.\r\nTroubleshoot ETL failures, database performance issues, and production incidents.\r\nImplement CI/CD pipelines and Infrastructure as Code using Harness, YAML, and AWS CloudFormation.\r\nCollaborate with architects, developers, and business stakeholders to deliver enterprise data solutions.\r\nPerform root cause analysis and provide production support for critical ETL processes.\r\nMaintain coding standards, technical documentation, and ETL development best practices.\r\nMandatory Technical Skills:ETL Development: 6+ years of experience in ETL development, data integration, transformation, and scheduling.\r\nSQL: 6+ years of strong experience writing and optimizing complex SQL queries.\r\nPython / PySpark: 3–4 years of hands-on programming experience with large-scale datasets.\r\nAWS Cloud: 3–4 years of experience with AWS Glue, S3, Redshift, Lambda, Step Functions, RDS Aurora/MySQL, CloudWatch, SNS, SQS, and EventBridge.\r\nBig Data: 3+ years of experience in Big Data processing, data modeling, and scalable data architectures.\r\nDevOps / CI/CD: Hands-on experience with Harness, YAML, and AWS CloudFormation.\r\nDatabase Troubleshooting: Strong understanding of RDS MySQL, database performance tuning, and production support.\r\nPreferred Skills:Experience leading ETL or Data Engineering teams.\r\nHands-on experience with Apache Iceberg.\r\nExperience with Dynatrace or Datadog.\r\nStrong analytical, troubleshooting, and communication skills.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","company":"Valiant Technologies","rawCompany":"valiant technologies","city":"Chicago","state":"IL","isRemote":false,"isActive":true,"createdAt":"2026-11-13T01:31:00.967Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS Data Engineering","description":"We are seeking an experienced Senior ETL Developer with strong hands-on expertise in AWS cloud services, Python, PySpark, SQL, and large-scale enterprise data processing.\r\nThe ideal candidate will be responsible for designing, developing, optimizing, and maintaining scalable ETL pipelines and data analytics solutions within the AWS ecosystem.\r\nKey Responsibilities:Design, develop, implement, and optimize enterprise-scale ETL pipelines and backend data processing solutions.\r\nBuild and maintain scalable data pipelines using AWS Glue, Python, PySpark, and SQL.\r\nDevelop complex SQL queries, stored procedures, and data transformation workflows.\r\nWork with AWS services including S3, Redshift, Lambda, Step Functions, RDS, CloudWatch, SNS, SQS, and EventBridge.\r\nPerform data cleansing, profiling, transformation, and workflow scheduling.\r\nTroubleshoot ETL failures, database performance issues, and production incidents.\r\nImplement CI/CD pipelines and Infrastructure as Code using Harness, YAML, and AWS CloudFormation.\r\nCollaborate with architects, developers, and business stakeholders to deliver enterprise data solutions.\r\nPerform root cause analysis and provide production support for critical ETL processes.\r\nMaintain coding standards, technical documentation, and ETL development best practices.\r\nMandatory Technical Skills:ETL Development: 6+ years of experience in ETL development, data integration, transformation, and scheduling.\r\nSQL: 6+ years of strong experience writing and optimizing complex SQL queries.\r\nPython / PySpark: 3–4 years of hands-on programming experience with large-scale datasets.\r\nAWS Cloud: 3–4 years of experience with AWS Glue, S3, Redshift, Lambda, Step Functions, RDS Aurora/MySQL, CloudWatch, SNS, SQS, and EventBridge.\r\nBig Data: 3+ years of experience in Big Data processing, data modeling, and scalable data architectures.\r\nDevOps / CI/CD: Hands-on experience with Harness, YAML, and AWS CloudFormation.\r\nDatabase Troubleshooting: Strong understanding of RDS MySQL, database performance tuning, and production support.\r\nPreferred Skills:Experience leading ETL or Data Engineering teams.\r\nHands-on experience with Apache Iceberg.\r\nExperience with Dynatrace or Datadog.\r\nStrong analytical, troubleshooting, and communication skills.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","datePosted":"2026-11-13T01:31:00.967Z","dateModified":"2026-11-13T01:31:00.967Z","hiringOrganization":{"@type":"Organization","name":"Valiant Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c0ddbb0a33a4afba224e6c49"},"url":"https://jobsearcher.com/jobs/c0ddbb0a33a4afba224e6c49"}}