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# DataStage Senior Engineer

- **Company:** HCL Technologies
- **Location:** Troy, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Computer Programming, Databases, Data Integration, Extract Transform Load (ETL), Data Warehousing, IBM InfoSphere DataStage, Unix Shell, Systems Development Life Cycle, SQL Databases, Data Streaming, Data Processing, Scripting, Build Management, Data Management
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/datastage-senior-engineer-troy-mi--05fc8a59-b2e7-403d-8319-1c3f5ebe8be1

## About the Role

IBM WebSphere DataStage, Unix Shell Programming, Data Management, SQL (Structured Query Language), IBM WebSphere DataStage, Scripting (Scripting Languages), Scalable System Development, Database Extract Transform and Load (ETL), Data Analysis, Needs Assessment, 1. Strong knowledge of ibm infosphere datastage suite for etl development and administration.

 2. Strong skills in sql for data manipulation and querying.
 3. Experience with unix shell scripting for automation and scripting tasks.
 4. Solid understanding of data warehousing concepts and data integration techniques.
 5. Ability to work effectively in a team environment and communicate technical concepts clearly.
 6. Analytical mindset with a problem-solving attitude to address complex data integration challenges.
 7. Knowledge of itil process.
 8. Understanding of azure devops to perform build and deploy.

## Description

The Senior Developer in this role will be responsible for utilizing their expertise in IBM Infosphere DataStage Suite, SQL, and Unix Shell Scripting to effectively develop, and implement data integration solutions. The primary focus will be on leveraging these technologies to enhance data management processes and ensure seamless data flow within the organization., 1. Develop and maintain scalable etl processes using ibm infosphere datastage suite to extract, transform, and load data from various sources.

 2. Design and implement sql queries and scripts to manipulate and analyze data as per business requirements.
 3. Create and optimize unix shell scripts to automate data integration tasks and streamline workflows.
 4. Collaborate within team to understand data integration needs and provide technical solutions.
 5. Troubleshoot and resolve any issues related to data integration processes in a timely manner.
 6. Ensure data quality and integrity by implementing best practices in data management and governance.
 7. Participate in operational activities like monitoring