Sr Datastage & Netezza Developer & Engineer,- Remote

<p>Jacksonville, United States | Posted on 02/20/2026</p><p><b>some experience with Snowflake or Databricks will be preferred.</b></p><ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field<br /></li><li>5-8 years of data engineer experience in ETL Development, with at least 2 years specifically focused on the DataStage-Netezza integration<br /></li><li>Deep understanding of Netezza’s MPP architecture, S-Blades, and FPGA processing<br /></li><li>Proven ability to debug complex data issues and optimize long-running ETL workflows<br /></li><li>Knowledge of Star/Snowflake schemas, Dim &amp; Fact tables, and SCD (Type 1/2)<br /></li><li>Control-M or AutoSys (Scheduling), Git/SVN (Version Control), Aginity (Netezza Workbench)<br /></li><li><b>Nice to have - some experience with Snowflake or Databricks will be preferred.</b><br /></li></ul><h3>Responsibilities<br /></h3><ul><li>Design and develop complex DataStage jobs (Parallel and Sequence) to extract data from various sources (Flat Files, DB2, SQL Server, APIs) and load them into Netezza<br /></li><li>Optimize DataStage jobs using partitioning, sorting, and buffer tuning<br /></li><li>Perform SQL tuning specifically for Netezza (e.g., managing Distribution Keys, Clustered Base Tables, and minimizing data skew)<br /></li><li>Utilize the Netezza Connector and Netezza Performance Server features within DataStage to implement high-speed data loading (nzload) and external table frameworks<br /></li><li>Write advanced Netezza SQL, including stored procedures, complex joins, and analytical functions to handle data transformation directly within the warehouse (ELT approach)<br /></li><li>Develop Unix/Linux shell scripts to automate job scheduling, file management, and error handling<br /></li><li>Implement data validation and cleansing rules to ensure the integrity and accuracy of the data warehouse<br /></li><li>Provide production support, troubleshoot job failures, and perform root cause analysis for performance bottlenecks<br /></li></ul><br />#J-18808-Ljbffr