Data Engineer Aws (Dia Datamarts)

Experteer Overview Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.In this role, you will lead the migration of over 200 data products from legacy systems to Snowflake and AWS within the OneDIA data ecosystem.You will design data models, implement ETL pipelines, and establish landing zones, data lakes, and Vault architectures to support consumption layer warehouses and data marts.You’ll collaborate across teams to connect data catalogs and ensure quality across processing steps.This position offers exposure to modern cloud data tooling and a chance to shape data architecture at scale within Allianz Technology.Compensaciones / Beneficios* Design data models for tables, datamarts, and related artifacts* Implement end-to-end ETL processes as per OneDIA architecture* Define landing zone and data store for raw data ingestion* Perform staging using data lake architecture and processes* Set up raw data vault and business data vault across OE* Create customer-specific data warehouses and data marts in the Consumption Layer* Build pipelines for ETL orchestration and integrate Data Catalog for input verificationResponsabilidades* 3+ years experience with Snowflake, DBT (incl. GitHub), Agile delivery* Experience with AWS data components (e.g., Glue) and containerized environments* Knowledge of ETL xqbhyrx tools and orchestration (AWS Step Functions, UC4)* Familiarity with Data Catalog and data quality tools (IDMC)* Strong communication and teamwork skills* English proficiency in writing and speaking* Machine learning knowledge is a plusRequisitos principales* hybrid work model* company bonus scheme* pension* employee shares program* lifelong learning programs* health and wellbeing offers

This position offers exposure to modern cloud data tooling and a chance to shape data architecture at scale within Allianz Technology.Compensaciones / Beneficios* Design data models for tables, datamarts, and related artifacts* Implement end-to-end ETL processes as per OneDIA architecture* Define landing zone and data store for raw data ingestion* Perform staging using data lake architecture and processes* Set up raw data vault and business data vault across OE* Create customer-specific data warehouses and data marts in the Consumption Layer* Build pipelines for ETL orchestration and integrate Data Catalog for input verificationResponsabilidades* 3+ years experience with Snowflake, DBT (incl. GitHub), Agile delivery* Experience with AWS data components (e.g., Glue) and containerized environments* Knowledge of ETL xqbhyrx tools and orchestration (AWS Step Functions, UC4)* Familiarity with Data Catalog and data quality tools (IDMC)* Strong communication and teamwork skills* English proficiency in writing and speaking* Machine learning knowledge is a plusRequisitos principales* hybrid work model* company bonus scheme* pension* employee shares program* lifelong learning programs* health and wellbeing offers