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Systems Specialist_2481
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Allianz Commercial
Job Description
About This Job
Allianz Commercial
Location: Pune, Maharashtra, India
Work Mode: On-site
Employment Type: Full Time
Industry: Insurance
Job Description
This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
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 loadsStrong 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 & JiraExperience 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 communication skills.
Good inter personal skills.
Adaptable and flexible
PART 6
Key Competencies
At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let's care for tomorrow.
Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz' company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
Allianz Commercial
Location: Pune, Maharashtra, India
Work Mode: On-site
Employment Type: Full Time
Industry: Insurance
Job Description
This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
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 loadsStrong 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 & JiraExperience 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 communication skills.
Good inter personal skills.
Adaptable and flexible
PART 6
Key Competencies
- Azure Data engineer ( Preferred Databricks or Fabrics)- python / pyspark programming- strong ETL/ELT and Data warehousing knowledge.
At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let's care for tomorrow.
Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz' company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
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