
Senior Datastage Developer
2 weeks ago
Key Responsibilities :
- ETL Design and Development : Design, develop, and implement ETL processes using IBM DataStage to extract, transform, and load data from various data sources into data warehouses or data marts.
- Data Integration : Collaborate with data architects and analysts to ensure seamless data integration across various platforms and systems.
- Performance Tuning : Optimize ETL processes for performance, ensuring efficient data processing and transformation.
- Conduct regular performance tuning and troubleshooting of ETL jobs.
- Data Quality Management : Implement and maintain data quality processes within the ETL workflows to ensure accuracy, consistency, and reliability of data.
- Requirement Gathering : Work closely with business stakeholders to gather and understand data requirements, translating them into technical specifications for ETL processes.
- Testing and Validation : Develop and execute unit tests and integration tests for ETL processes to ensure the accuracy and reliability of data.
- Participate in user acceptance testing (UAT) and support production deployments.
- Documentation : Maintain comprehensive documentation of ETL processes, data flows, and design specifications.
- Ensure all development is thoroughly documented for future reference.
- Mentorship and Leadership : Provide technical guidance and mentorship to junior DataStage developers.
- Lead ETL projects and coordinate with cross-functional teams to ensure timely delivery of data solutions.
- Troubleshooting : Identify and resolve data-related issues, ensuring the integrity and availability of data in production environments.
- Compliance and Security : Ensure all data processes comply with organizational data governance policies, security standards, and regulatory requirements.
Qualifications :
Experience : 7 to 10 years of experience in ETL development with extensive expertise in IBM DataStage.
Technical Skills :
- Strong proficiency in IBM DataStage, including DataStage Designer, Director, and Administrator.
- In-depth understanding of ETL processes, data integration, and data warehousing concepts.
- Proficiency in SQL and working knowledge of database platforms such as Oracle, DB2, SQL Server, or Teradata.
- Experience with performance tuning and optimization of ETL processes.
- Knowledge of scripting languages (e.g Unix shell scripting) for automation and process enhancement.
- Analytical Skills : Strong analytical and problem-solving skills, with the ability to troubleshoot complex ETL issues.
- Communication Skills : Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders.
- Leadership Skills : Proven ability to lead projects, mentor junior developers, and work collaboratively within a team environment.
- Agile Methodology : Experience working in Agile development environments is preferred.
Preferred Skills :
- Experience with Big Data technologies (e.g, Hadoop, Spark) and cloud-based data platforms.
- Knowledge of data governance, data quality frameworks, and master data management (MDM).
- Familiarity with data modeling and metadata management tools.
Educational Background :
- A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is required
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