Professional Data Analyst

1 dia atrás

Curitiba Para Brazil Ewave Do Brasil Informatica Tempo inteiro R$80.000 - R$120.000 por ano
Description

The Volvo Group is one of the world's leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.

O Grupo Volvo é um dos principais fabricantes mundiais de caminhões, ônibus, equipamentos de construção e motores marítimos e industriais. O Grupo também oferece soluções completas de financiamento e atendimento. O Grupo Volvo, com sede em Gotemburgo, emprega cerca de pessoas, possui instalações de produção em 18 países e vende seus produtos em mais de 190 mercados.

You will:
Work on one of our global agile product teams focusing on delivering business value through digital products.
Contribute to enable new data-driven services working with Stakeholders throughout the organization, toidentify opportunities for leveraging company data to drive business solutions.
Support in building the infrastructure required for optimal ETL and ELT pipelines, from a wide variety ofsources, whether on-premises or hosted in Microsoft Azure Cloud.
Work closely with data analysts to provide required data models and structures.

Your future team
You will join one of our Data Engineer's chapters in Curitiba-PR, Brazil, part of our global Data Engineer'scommunity into Digital & IT Data function. Furthermore, you will work in the development of data solutions ona team under Analytics & BI - Product Data area.

Requirements

Who are you?
Do you dream big? We do too, and we are excited to grow together. In this role, you must bring:

  • Academic degree from a relevant field of studies;
  • Excellent communication skills in English;
  • High degree of responsibility, self-organization and self-motivation;
  • Adaptability and ability to drive tasks by yourself and/or in a team environment;
  • Agile and DevSecOps frameworks previous experience;
  • Advanced ETL/ELT skills;
  • Advanced T-SQL skills;
  • Advanced data modeling skills;
  • Very good Python programming;
  • High level of experience developing pipelines on Microsoft Azure Data Factory;
  • High level of experience developing solutions on Azure Databricks (pySpark, Spark SQL, Dataframes, DeltaTables);
    Also, it would be nice to bring:
  • Previous experience with Microsoft Power BI (PowerQuery, Semantic Models and Datasets);
  • Previous experience with Microsoft Azure Synapse;
  • Previous experience with Informatica PowerCenter or IICS;
  • Data analysis experience.
Benefits

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