DataStage Developer

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Design and develop ETL solutions: Collaborate with stakeholders to gather requirements and convert them into scalable and efficient ETL solutions utilizing IBM DataStage.

• Data integration: Create robust data integration workflows to extract, transform, and load data from various sources into target systems, ensuring data quality and integrity.

• Data modeling: Design and implement data models and mappings to guarantee optimal performance and accuracy of data transformations.

• Performance optimization: Identify and resolve performance bottlenecks, fine-tune ETL processes, and enhance data loading and transformation for greater efficiency.

• Error handling and troubleshooting: Establish error handling mechanisms, monitor ETL processes, and troubleshoot issues to ensure timely resolution of data integration challenges.

• Collaborate with teams: Engage closely with cross-functional teams, including data analysts, database administrators, and business stakeholders, to comprehend requirements and deliver high-quality solutions.

• Documentation and maintenance: Develop technical documentation, such as data mapping, process flow diagrams, and user guides. Regularly maintain and update existing ETL processes.

• Stay updated on industry trends: Remain informed about the latest trends, tools, and technologies in data integration and ETL to propose innovative solutions and enhance existing processes.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• Demonstrated experience as a DataStage Developer or in a comparable ETL development role.

• Strong proficiency in IBM DataStage, encompassing experience with its various stages, transformations, and parallel processing.

• Comprehensive understanding of data integration concepts, ETL principles, and data warehousing.

• Proficiency in SQL and database technologies (such as Oracle, SQL Server, or DB2) for data extraction and manipulation.

• Familiarity with data modeling and schema design.

• Experience in performance tuning and optimization of ETL processes.

• Strong problem-solving and troubleshooting abilities with the capacity to analyze complex data issues and provide effective solutions.

• Excellent collaboration and communication skills to work efficiently within a team and engage with stakeholders.

• Attention to detail, focusing on delivering high-quality and accurate results.

• Capacity to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

• Knowledge of scripting languages (e.g., Shell scripting, Python) is an advantage.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and career advancement.

• Flexible work arrangements to promote work-life balance.

• Access to the latest tools and technologies in the field.

• Collaborative and inclusive work environment.