DataStage Developer

Job description:

- The DataStage Senior Developer role is responsible for developing DataStage solutions using sound, repeatable, industry best practices and in accordance with Global Solution's project development methodologies

- The DataStage Senior Developer will be the ETL project lead that interacts and collaborates with other technical groups

- The developer will be responsible for Designing and developing batch/ETL interfaces using IBM's ETL tool Datastage as part of ICAP's IT Team

- Development activities will include configuration updates to existing software and/or developing new programs to address a particular business need. This includes a feasibility review of the development effort for new requirements, identification of risks, and time estimation of development effort

- The DataStage Senior Developer will obtain a thorough understanding of the infrastructure and configuration of existing ETL environments

The developer will be responsible for maintaining and supporting the existing interface DataStage processes including investigation of issues and production troubleshooting

Mandatory skills:

- Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience.
- 3+ years of hands-on experience for complex ETL delivery initiatives for data warehouses and related applications using industry standard tool sets
- Deep development experience with  DataStage 8.x or 9.x in Parallel extender or Parallel Jobs 
- Good hands-on experience with installing and configuring DataStage environments
- Proficient and hands on experience in SQL and PL/SQL

- Good knowledge & experience on using IBM QualityStage
- Excellent fine tuning, Identifying and fixing bottlenecks at various levels such as source, target and mapping and problem solving, debugging skills
- Proficient in using advanced features like datasets, Configuration file, ran time column propagation, partitioning, handling large volume of data, parallel extenders, Data transformation, external loaders, performance tuning etc.
- Strong understanding of data warehousing concepts, schemas, Slowly Changing Dimensions, Facts and Dimensions and implementation of the same
- Experience with Unix/Linux scripting
- Good interpersonal, listening, oral, written communication and presentation skills
- Ability and willingness to take accountability and to take the lead, driving the team and the project towards the goal

English: Fluent