ZR_2837_JOB

Simple Solutions; Jacksonville (FL); On-site; USD 110,000 - 160,000; Full time

Job summary

Zohorecruit in Jacksonville, FL is seeking an experienced Data Engineer specializing in ETL development with DataStage and Netezza. You will design, tune, and maintain complex ETL jobs, optimize SQL for Netezza, and implement high-speed data loading strategies.

You will also develop shell scripts for automation, enforce data validation rules, and provide production support to ensure warehouse integrity. Collaboration with teams on data modeling and scheduling workflows is essential.

Qualifications

• Bachelor's degree required.
• 5-8 years of data engineer experience in ETL Development.
• Experience with DataStage-Netezza integration 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., distribution keys, clustered base tables, 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 for ELT within the warehouse.
• Develop Unix/Linux shell scripts to automate job scheduling, file management, and error handling.
• Implement data validation and cleansing rules to ensure data warehouse integrity.
• Provide production support, troubleshoot job failures, and perform root cause analysis for performance bottlenecks.

Skills

ETL Development

Netezza architecture

Troubleshooting ETL

Dimensional Modeling

SCD (Type 1/2)

Control-M

AutoSys

Git

SVN

Aginity

Snowflake/Databricks (nice to have)

Education

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

Tools

DataStage

Netezza

Control-M

AutoSys

Git

SVN

Aginity

Snowflake/Databricks

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