Data Engineer

• Design, develop, and optimize ETL pipelines using Informatica PowerCenter for large-scale data processing (20TB+ databases: Oracle/SybaseIQ).
• Develop Java applications utilizing Java, Springboot, Maven, etc.
• Collaborate with Business Analysts to translate requirements into technical solutions, ensuring alignment with business goals.
• Manage release processes, secure complex changes, enforce coding best practices, and maintain high code quality.
• Optimize batch processing, scheduling, and monitoring, with a focus on performance tuning and automation.
• Employ a hands-on, pragmatic approach to troubleshooting and process improvements.
• Work effectively in a cross-cultural, English-speaking team environment.

• Minimum of a Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Engineering, Computer Science). An advanced degree (Master's/PhD) is considered an advantage for complex problem-solving.
• At least 6 years of relevant experience in Data Analytics.
• Expertise in ETL tools (Informatica PowerCenter) and big data (20TB+ Oracle/SybaseIQ).
• Advanced SQL skills (complex queries, optimization).
• Proficiency in Java (Java, Springboot, Maven, etc.) with a willingness to learn and build solutions with expert support.
• Experience in scheduling/monitoring, batch processing, dependency management, and performance tuning.

Desired Skills and Certifications:

• Experience with CI/CD pipelines or DevOps practices.
• Knowledge of data governance or regulatory compliance (e.g., GDPR).
• Banking/Insurance sector experience is preferred but not mandatory., * Team player with a proactive attitude.
• Strong communication and influencing skills.
• Excellent analytical and synthesis skills.
• Autonomy, commitment, and perseverance.
• Ability to work in a dynamic and multi-cultural environment.