Offer summary

Qualifications:

Minimum 2 years of experience in data engineering., Proficiency in Azure Analysis Services and Power BI., Hands-on expertise with data ingestion and transformation tools., Strong English communication skills..

Key responsabilities:

Constructing data pipelines using PySpark.

Developing tabular cubes with Analysis Services (DAX).

Creating dashboards using Power BI.

Coordinating with third-party teams for data integration and implementation.

Job description

Desde Kapres Technology estamos buscamos un Data Engineer, monitorización con inglés alto, para un importante cliente del sector seguros a nivel internacional.

Context:

Monitoring Solutions product provides monitoring capabilities covering applications performance, LOG events and BAU KPIs.

Along the company initiatives aiming to increase the quality of service within the company, we are building several QoS dashboards, following industrial approach.

Data engineer service will include constructing data pipelines using PySpark, developing tabular cubes with Analysis Services (DAX), and creating dashboards using Power BI.

Services:

Assessement of the needs to set up a list of functional and technical requirements
Supporting Coordination with third party teams (Data integration team & Datalake team)
Implementation of data ingestion and transformation
Implementation of specific calculations and filtering according to the requirements
Implementing security and access control measures

Skills:

Years of expertise we're looking for: minimum 2 years
The tools needed or mandatory expertise: da, Azure analyses services and PowerBI - already hand-on expertise on these tools
Level of expertise on tools needed: open for all the levels (intermediate, advanced, expert)

Proyecto estable, de larga duración, con contrato indefinido desde el primer momento. 100% remoto. 23 días laborables de vacaciones.

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