IBM DataStage_B2

Job Title: IBM DataStage
Location: Pune
Grade: B2
NP: Immediate
Job Description:
- Develop ETL processes using IBM DataStage to extract, transform, and load data from various data sources to data warehouses or other target systems
- Create and maintain data integration solutions to support business requirements
- Develop complex DataStage jobs and sequences ensuring efficient performance and scalability
- Data Management:
- Ensure data quality and integrity throughout the ETL process
- Implement and monitor data quality checks to ensure accurate data transfer
- Perform data analysis and troubleshoot data-related issues as needed
- Performance Optimization:
- Optimize ETL processes for performance and scalability
- Monitor and tune DataStage jobs to ensure optimal performance
- Identify and resolve performance bottlenecks in the ETL processes
- Collaboration and Communication:
- Work closely with business analysts, data architects, and other stakeholders to understand and translate business requirements into technical specifications
- Collaborate with other developers and team members to ensure consistent and reliable data integration solutions
- Provide technical guidance and support to junior team members
- Documentation and Compliance:
- Create and maintain comprehensive documentation for DataStage jobs, processes, and workflows
- Ensure compliance with data governance and security policies
- Participate in code reviews and ensure adherence to coding standards and best practices

Qualifications:

- Education: Bachelor's degree in Computer Science, Information Technology, or a related field
- Experience:
- Years of experience in ETL development using IBM DataStage
- Strong experience in data integration, data warehousing, and ETL processes
- Proven experience with SQL and database technologies (e.g., Oracle, SQL Server, DB2)
- Skills:
- Proficiency in IBM DataStage including design, development, and optimization of DataStage jobs
- Strong understanding of ETL concepts, data modeling, and data warehousing principles
- Excellent problem-solving skills and attention to detail
- Strong analytical and troubleshooting abilities
- Good communication and collaboration skills

Preferred Qualifications

- Experience with other ETL tools and data integration technologies
- Knowledge of cloud platforms and services (e.g., AWS, Azure)
- Familiarity with big data technologies (e.g., Hadoop, Spark)

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