Data Engineer

Required Experience

You have at least 6 years of relevant experience in Data Analytics.

Technical Experience

Mandatory

• Expertise in ETL tools (Informatica PowerCenter) and big data (20TB+ Oracle/SybaseIQ).
• Advanced SQL (complex queries, optimization).
• Good knowledge in Java (Java, Springboot, Maven Etc.) (eager to learn/build solutions with expert support).
• Scheduling/monitoring: Batch processing, dependency management, performance tuning.

Preferable

• Automation (bonus).

Business Experience

Banking/Insurance sector experience (preferred but not mandatory)

Soft Skills

Team player

Quick self-starter, pro-active attitude

Good Communication and Influencing skills

Good analytical and synthesis skills

Autonomy, commitment and perseverance

Ability to work in a dynamic and multi-cultural environment

Nice-to-Haves

Experience with CI/CD pipelines or DevOps practices.

Knowledge of data governance or regulatory compliance (e.g., GDPR).

Refinements Made:

Prioritized skills (technical depth first, then soft skills/growth potential).

Clarified expectations (e.g., \"evolve into key role\" specific examples like release management).

Structured for readability (bullet points, bold for emphasis).

Added industry context (banking/insurance as a plus).

Removed redundancy (e.g., \"good collaboration\" merged with communication).