About Us
[Write a brief and compelling description of your company, its mission, and its values.]
The Role
We are seeking a skilled and results-oriented DataStage Developer to join our Data Integration team. You will play a critical role in designing, developing, implementing, and maintaining ETL (Extract, Transform, Load) processes using IBM DataStage to support our data warehouse and business intelligence needs.
Responsibilities
- Design and develop high-performance, scalable, and reusable DataStage jobs for data extraction, transformation, and loading tasks.
- Effectively utilize various DataStage stages (sources, transformers, targets) to manipulate and integrate data from diverse sources.
- Implement complex data transformations using DataStage features like expressions, filters, joins, lookups, and aggregations.
- Ensure data accuracy, consistency, and completeness throughout the ETL process.
- Develop and maintain comprehensive job documentation, including data lineage and job parameters.
- Debug and troubleshoot DataStage jobs to resolve data integration issues efficiently.
- Optimize existing DataStage jobs for performance and resource utilization.
- Collaborate with Data Analysts, Database Administrators, and other stakeholders to understand data requirements and translate them into technical solutions.
- Stay up-to-date on the latest advancements in IBM DataStage and related data integration technologies.
- Participate in code reviews and maintain a high standard of code quality.
- May assist with testing and deployment of DataStage jobs to production environments.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
- X years of experience as a DataStage Developer or similar ETL developer role.
- Proven experience in designing and developing complex ETL processes using IBM DataStage.
- In-depth knowledge of DataStage concepts, stages, and functionalities.
- Strong understanding of data warehousing and data integration principles.
- Proficiency in SQL for data manipulation and querying.
- Experience with data profiling and data quality control techniques.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and a commitment to data accuracy.
- Effective communication and collaboration skills.
- Ability to work independently and as part of a team.
Bonus Points
- Experience with parallel processing and clustered DataStage environments.
- Experience with data lineage tools and techniques.
- Experience with scripting languages (e.g., Perl, Python) for automating DataStage tasks.
- Experience with data governance and data security best practices.
- Experience with cloud-based data integration solutions (e.g., AWS DataStage).
Benefits
[List your company’s benefits package, including health insurance, paid time off, and any other perks.]
How to Apply
Please submit your resume and a cover letter outlining your DataStage development experience to [email protected]
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
