Datawarehouse / ETL Engineer - Skillman, NJ - Georgia IT Inc.
Skillman, NJ
About the Job
Job Title: DATAWAREHOUSE / ETL ENGINEER
Location: Skillman, NJ
Position Type: Contract
Rate: DOE
***Corp to Corp / W2 / 1099 accepted***
* Strong understanding of ETL tools (5+ years ETL required), including Informatica Very Large Database and DW
* Implementation experience (20+ TBs) Programming in a Linux/Unix environment, including shell scripting
* Demonstrated experience and ability to work with business users to gather requirements and manage scope
* Demonstrated experience and ability to deliver results quickly in a fast-paced environment on multiple projects
* Proven ability to effectively manage their time and a desire to deliver results quickly and correctly
* Strong trouble-shooting and problem-solving skills with a Logical and pragmatic attitude
* Team player with strong oral and interpersonal skills
Nice to Have:
* Programming in Java, C++, Python Hadoop stack/MapReduce and other Hadoop-related open-source tools HBase/NoSQL or similar technologies
* Very Large Database and DW Implementation experience (20+ TBs)
* BI Tools such as Qlikview and Cognos Data Modeling skills including ERWin/ERStudio GreenPlum and/or Oracle database experience
* The candidate is expected to be able to handle end-to-end DW, Data Integration and BI solutions by taking into consideration the business cases, objectives and requirements.
* The technical domain of the position includes all aspects of the solution including data integration, data architecture, information delivery, infrastructure, testing, performance tuning for all components of the project.
* Ability to promote growth and knowledge of other team members Implementation skills including estimation, planning, gap analysis, and risk analysis
* Understanding of backup, archive, restore and purge strategies and disaster recovery strategies in very large database environments.
* Experience with the monitoring and fine-tuning of large data warehouse implementations using various DW performance improvement options (virtual and materialized views; additional indexes; segmentation and partitioning of the various fact tables; caching, etc.)
Location: Skillman, NJ
Position Type: Contract
Rate: DOE
***Corp to Corp / W2 / 1099 accepted***
* Strong understanding of ETL tools (5+ years ETL required), including Informatica Very Large Database and DW
* Implementation experience (20+ TBs) Programming in a Linux/Unix environment, including shell scripting
* Demonstrated experience and ability to work with business users to gather requirements and manage scope
* Demonstrated experience and ability to deliver results quickly in a fast-paced environment on multiple projects
* Proven ability to effectively manage their time and a desire to deliver results quickly and correctly
* Strong trouble-shooting and problem-solving skills with a Logical and pragmatic attitude
* Team player with strong oral and interpersonal skills
Nice to Have:
* Programming in Java, C++, Python Hadoop stack/MapReduce and other Hadoop-related open-source tools HBase/NoSQL or similar technologies
* Very Large Database and DW Implementation experience (20+ TBs)
* BI Tools such as Qlikview and Cognos Data Modeling skills including ERWin/ERStudio GreenPlum and/or Oracle database experience
* The candidate is expected to be able to handle end-to-end DW, Data Integration and BI solutions by taking into consideration the business cases, objectives and requirements.
* The technical domain of the position includes all aspects of the solution including data integration, data architecture, information delivery, infrastructure, testing, performance tuning for all components of the project.
* Ability to promote growth and knowledge of other team members Implementation skills including estimation, planning, gap analysis, and risk analysis
* Understanding of backup, archive, restore and purge strategies and disaster recovery strategies in very large database environments.
* Experience with the monitoring and fine-tuning of large data warehouse implementations using various DW performance improvement options (virtual and materialized views; additional indexes; segmentation and partitioning of the various fact tables; caching, etc.)
Source : Georgia IT Inc.