Duties and Responsibilities
- As a Data engineer He/She will be responsible for developing robust solution as per requirement in Agile landscape.
- Tech Stack we look forward is –
- Azure Data engineer ( Preferred Databricks or Fabrics)
- - python / pyspark programming
- - strong ETL/ELT and Data warehousing knowledge.

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Experience technology stack
- Experience in data integration (batch, Kafka events, etc.), processing (ETL/ELT), and migration on-premises/cloud (Azure)
- Knowledge of Azure Synapse, DataBricks, Data Lake Gen 2, API Azure, Azure Functions, Triggers, Events, SHIR, etc.
- Strong Python programming skills (core Python, PySpark), and containers development (K8s)
- Strong SQL skills (T-SQL and PL-SQL), with hands-on experience in building complex SQL queries and creating ETL loads
- Strong knowledge of different RDBMS (Oracle, PostgreSQL, etc.)
- Strong knowledge of DWH concepts and architecture, Logical & Physical design, Data modeling (3NF, Star schema, etc.)
- Strong knowledge of Lakehouse concepts (DeltaLake)




- Knowledge of Agile concepts and hands-on experience with Confluence & Jira
- Experience with Data modeling tools (knowledge of Erwin and FET)
- Experience working in a multi-cultural team
- Qualification, Experience and Skills

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BE, Btech , Computer Science , MCA

Systematic and logical approach

Reasoning and analytic ability.

Excellent communication skills.

Good inter personal skills.

Adaptable and flexible

Key Competencies
- Azure Data engineer ( Preferred Databricks or Fabrics)
- - python / pyspark programming
- - strong ETL/ELT and Data warehousing knowledge.

A fundamental grasp of AI tools will be an added agevolazioni.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape

📌 Databricks Lead _2481 (Italia)
🏢 Allianz
📍 Italia