Overview:
The DataStage role is crucial to our organization as it involves designing developing and maintaining efficient and reliable ETL processes using IBM DataStage. This position is essential for ensuring the smooth flow and transformation of data across various systems which is integral to our datadriven decisionmaking processes.
Key Responsibilities:
- Designing developing and testing DataStage ETL jobs to extract transform and load data from various sources into data warehouse systems.
- Collaborating with data architects analysts and business users to understand and translate business requirements into technical solutions.
- Optimizing and tuning ETL processes for maximum performance and efficiency.
- Implementing data quality and validation processes to ensure accurate and reliable data integration.
- Monitoring troubleshooting and resolving issues related to DataStage jobs and ETL processes.
- Documenting ETL processes data mappings and data dictionaries.
- Participating in the evaluation and implementation of new data integration technologies and tools.
- Collaborating with crossfunctional teams to support datarelated initiatives and projects.
- Providing technical support and guidance to other team members.
- Adhering to data security and compliance requirements.
Required Qualifications:
- Bachelors degree in Computer Science Information Technology or a related field.
- Proven experience working with IBM DataStage in designing developing and implementing ETL solutions.
- Strong expertise in SQL and database concepts.
- Experience with data warehousing concepts dimensional modeling and ETL best practices.
- Proficiency in data integration techniques and tools.
- Excellent understanding of data quality and data profiling techniques.
- Strong analytical and problemsolving skills.
- Ability to prioritize and manage multiple tasks in a fastpaced environment.
- Excellent communication and collaboration abilities.
- Relevant certifications in ETL and data integration technologies are a plus.
datastage,etl,sql,data warehousing