Role Summary
Seeking an experienced Data Platform Engineer with strong Netezza expertise.
Design, develop, and support scalable data pipelines and distributed data platforms.
Work with AWS Cloud, Big Data, Data Warehousing, ETL, and real-time data processing.
Support data platform modernization and on-premises to AWS cloud migration initiatives.
Databases & Data Warehousing
Netezza Mandatory
SQL Server
PostgreSQL
Teradata
Amazon Redshift
ETL / Data Integration
SSIS
Pentaho or similar ETL tools
ETL/ELT processes
Programming & Scripting
Robust SQL
Shell scripting
Python Good to have
Operating Systems
Strong Unix/Linux experience
Key Responsibilities
Design, develop, maintain, and support scalable data pipelines.
Lead and support on-premises to AWS cloud migration initiatives.
Leverage Netezza expertise for data migration and platform modernization.
Develop and manage ETL/ELT processes using SSIS, Pentaho, or similar tools.
Implement and manage AWS services including EMR, S3, EC2, Redshift,
Glue, and Airflow.
Build and optimize data workflows and orchestration pipelines.
Work with real-time streaming technologies such as Kafka and Spark Streaming.
Perform data ingestion, transformation, and validation across multiple data sources.
Optimize SQL queries for performance and scalability.
Monitor platform performance and troubleshoot technical issues.
Ensure data platform reliability, scalability, and performance.
Collaborate with developers, architects, infrastructure teams, and business stakeholders.
Must-Have Skills
10+ years of Data Engineering / Big Data / Platform Engineering experience
Hands-on Netezza experience Mandatory
Solid AWS Cloud experience
Robust SQL and Shell scripting
Experience with ETL/ELT
Strong Unix/Linux experience
Data Warehousing experience
Data migration and modernization experience
Experience building scalable data pipelines
Experience with distributed data systems