Big Data Architect

2 giorni fa

Milano, Lombardia, Italia Allianz Popular Sl. A tempo pieno

Discover a dynamic and innovative work environment with opportunities for professional growth and development at Allianz Popular Sl. as our Big Data Engineer.

Job Description:

We are seeking an experienced Big Data Engineer to join our Advanced Analytics Solution team. The successful candidate will be responsible for developing and operating end-to-end automation, analytics, and AI assets to enhance company processes and business outcomes.

Main Responsibilities:
  • Data Pipeline Development: Design, optimize, and re-engineer data pipelines and analytics models to ensure robust and efficient data processing.
  • Project Delivery: Deliver automation and analytics artifacts in alignment with project timelines and objectives.
  • Cross-functional Collaboration: Participate in cross-functional working groups to represent the Advanced Analytics team and contribute to the definition of target solutions.
  • Cloud Infrastructure Management: Assist team members in managing cloud-based analytics infrastructure in coordination with the IT department.
  • Operational Monitoring: Develop and implement activities required to operate and monitor production projects effectively.
  • Technology Scouting: Support the identification and evaluation of new technologies, techniques, and software within the Data & Analytics domain.
Requirements/Skills/Experience:

To succeed in this role, you should have:

  • A Master's degree in Computer Science or Computer Engineering.
  • At least 2 years of experience in engineering, with a focus on developing and operating analytics/AI assets in large-data contexts.
  • Excellent knowledge of Python, PySpark, SQL, and scripting.
  • Proficiency with orchestration tools such as Airflow.
  • Strong software engineering skills.
  • A good understanding of relational and non-relational databases, ETL processes, CDC, and data streaming tools and techniques.
  • Experience with Microsoft Azure or AWS ecosystems.
  • Familiarity with analytics and Big Data architectures (e.g., Kafka, Hadoop, Databricks) and web/cloud technologies (e.g., Docker, Kubernetes).
  • Fluent in English, both written and spoken.
  • Strong analytical, problem-solving, and communication skills.
Estimated Salary: €80,000 - €120,000 per year.

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