**Introduction**
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
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ETL/ELT Design & Development: Design, develop, and optimize ETL/ELT pipelines to integrate heterogeneous data sources from travel and transportation operational systems.
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Database Management: Collaborate on the data modeling, maintenance, and performance optimization of relational and non-relational databases.
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Data Integration: Manage data pipelines connecting booking, ticketing, and logistics platforms to ensure data quality and consistency.
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Troubleshooting & Monitoring: Monitor existing data integration processes and proactively resolve operational bottlenecks and anomalies.
**Required technical and professional expertise**
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Minimum 2 years of experience in Data Engineering, Data Integration, or BI roles, preferably within the Travel & Transportation industry.
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Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes.
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Solid proficiency in SQL and relational database systems.
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Experience using scripting languages (e.g., Python) or data integration tools for pipeline management.
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Strong teamwork and problem-solving skills in dynamic environments.
**Preferred technical and professional experience**
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Experience with cloud-based data integration and analytics platforms (e.g., AWS, Azure, or GCP).
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Familiarity with workflow orchestration tools (e.g., Apache Airflow).
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Knowledge of specific data architectures and flows typical of the travel and transport sector (e.g., fleet management systems, geolocation data, or ticketing systems).
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Basic familiarity with Big Data technologies or real-time data streaming.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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