{"schemaVersion":"jobsearcher.job.v1","id":"30f660cf41699e1722456858","url":"https://jobsearcher.com/jobs/30f660cf41699e1722456858","canonicalUrl":"https://jobsearcher.com/jobs/30f660cf41699e1722456858","title":"Sr Datastage & Netezza Developer & Engineer,- Remote","description":"Jacksonville, United States | Posted on 02/20/2026\r\nsome experience with Snowflake or Databricks will be preferred.\r\nBachelor’s degree in Computer Science, Information Technology, or a related field5-8 years of data engineer experience in ETL Development, with at least 2 years specifically focused on the DataStage-Netezza integrationDeep understanding of Netezza’s MPP architecture, S-Blades, and FPGA processingProven ability to debug complex data issues and optimize long-running ETL workflowsKnowledge of Star/Snowflake schemas, Dim & Fact tables, and SCD (Type 1/2)Control-M or AutoSys (Scheduling), Git/SVN (Version Control), Aginity (Netezza Workbench)Nice to have - some experience with Snowflake or Databricks will be preferred.Responsibilities\r\nDesign and develop complex DataStage jobs (Parallel and Sequence) to extract data from various sources (Flat Files, DB2, SQL Server, APIs) and load them into NetezzaOptimize DataStage jobs using partitioning, sorting, and buffer tuningPerform SQL tuning specifically for Netezza (e.g., managing Distribution Keys, Clustered Base Tables, and minimizing data skew)Utilize the Netezza Connector and Netezza Performance Server features within DataStage to implement high-speed data loading (nzload) and external table frameworksWrite advanced Netezza SQL, including stored procedures, complex joins, and analytical functions to handle data transformation directly within the warehouse (ELT approach)Develop Unix/Linux shell scripts to automate job scheduling, file management, and error handlingImplement data validation and cleansing rules to ensure the integrity and accuracy of the data warehouseProvide production support, troubleshoot job failures, and perform root cause analysis for performance bottlenecks#J-18808-Ljbffr","company":"Simple Solutions","rawCompany":"simple solutions","city":"Brooklyn","state":"NY","isRemote":true,"isActive":false,"createdAt":"2026-10-04T01:41:12.645Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Datastage & Netezza Developer & Engineer,- Remote","description":"Jacksonville, United States | Posted on 02/20/2026\r\nsome experience with Snowflake or Databricks will be preferred.\r\nBachelor’s degree in Computer Science, Information Technology, or a related field5-8 years of data engineer experience in ETL Development, with at least 2 years specifically focused on the DataStage-Netezza integrationDeep understanding of Netezza’s MPP architecture, S-Blades, and FPGA processingProven ability to debug complex data issues and optimize long-running ETL workflowsKnowledge of Star/Snowflake schemas, Dim & Fact tables, and SCD (Type 1/2)Control-M or AutoSys (Scheduling), Git/SVN (Version Control), Aginity (Netezza Workbench)Nice to have - some experience with Snowflake or Databricks will be preferred.Responsibilities\r\nDesign and develop complex DataStage jobs (Parallel and Sequence) to extract data from various sources (Flat Files, DB2, SQL Server, APIs) and load them into NetezzaOptimize DataStage jobs using partitioning, sorting, and buffer tuningPerform SQL tuning specifically for Netezza (e.g., managing Distribution Keys, Clustered Base Tables, and minimizing data skew)Utilize the Netezza Connector and Netezza Performance Server features within DataStage to implement high-speed data loading (nzload) and external table frameworksWrite advanced Netezza SQL, including stored procedures, complex joins, and analytical functions to handle data transformation directly within the warehouse (ELT approach)Develop Unix/Linux shell scripts to automate job scheduling, file management, and error handlingImplement data validation and cleansing rules to ensure the integrity and accuracy of the data warehouseProvide production support, troubleshoot job failures, and perform root cause analysis for performance bottlenecks#J-18808-Ljbffr","datePosted":"2026-10-04T01:41:12.645Z","dateModified":"2026-10-04T01:41:12.645Z","hiringOrganization":{"@type":"Organization","name":"Simple Solutions","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"30f660cf41699e1722456858"},"url":"https://jobsearcher.com/jobs/30f660cf41699e1722456858"}}