Overall Objectives of Job: (If multiple sections, accord weightage to each section)

Project Name : GAFS (Global Antifraud Solution )

This role offers opportunities to work as Data engineer in one of the Prestigious Fraud detection solution of Allianz Group

Objective :
- Support in the development of the GAFS velocity layer (end Q1, Q2)
- Support in the development of the Machine Learning Data Layer (AIccelerate) – Databricks to enable predictive models on demand(Q3,Q4)

100%

PART 3

Duties and Responsibilities

List in order of importance and state approximate weightage accorded to each.
- 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.

8

PART 4

Authorities Held

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

PART 5

Qualification, Experience and Skills

BE, Btech , Computer Science , MCA

Systematic and logical approach

Reasoning and analytic ability.

Excellent communicatio

📌 Systems Specialist_2481 (Italia)
🏢 Allianz
📍 Italia