Senior Datastage, Netezza Developer, Engineer

Worldwide Salaried Open

Job Description:

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

Requirements:

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
Advanced SQL (Netezza-specific SQL), Unix/Linux Shell Scripting
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.

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