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Simple Solutions

Sr Datastage & Netezza Developer & Engineer,- Remote

northern, KY

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About this opportunity

Simple Solutions lists this Sr Datastage & Netezza Developer & Engineer,- Remote opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Jacksonville, United States | Posted on 02/20/2026

some experience with Snowflake or Databricks will be preferred.

Bachelor’s degree in Computer Science, Information Technology, or a related field

5-8 years of data engineer experience in ETL Development, with at least 2 years specifically focused on the DataStage-Netezza integration

Deep understanding of Netezza’s MPP architecture, S-Blades, and FPGA processing

Proven ability to debug complex data issues and optimize long-running ETL workflows

Knowledge 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

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

Optimize DataStage jobs using partitioning, sorting, and buffer tuning

Perform 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 frameworks

Write 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 handling

Implement data validation and cleansing rules to ensure the integrity and accuracy of the data warehouse

Provide production support, troubleshoot job failures, and perform root cause analysis for performance bottlenecks

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