Data Engineering

Há 1 mês


Jundiaí, Brasil Siemens Mobility Tempo inteiro

We are global business solutions, that supports Siemens companies worldwide to achieve excellence in their internal process allowing our colleagues to fully focus on their business.

Are you ready to be part of the change?
What role will you play?

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

What You Need to Make Real What Matters

  • Advanced working SQL knowledge and experience working with databases and data warehousing, query authoring (SQL) as well as working familiarity with a variety of databases.
  • At least 2 years of experience working on cloud, preferably with AWS and Snowflake.
  • Good understanding of Tableau/Power BI architecture, design, development and end user experience.
  • Strong academic background including a bachelor’s degree in IT or business-related course of study.
  • Proficient with statistical analysis and data analysis techniques.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Willingness to constantly learn new skills and technologies.
  • Experience supporting and working with cross-functional teams in a dynamic environment.

What You’ll Bring to Our Next Dialogue
We want savvy Data Analysts considering Siemens GBS Digital solutions as their new home to feel ready for the path ahead. To help you along the interview journey, we suggest that you come prepared—here are some practical tips: know some background about our company and markets, wow us with your amazing technical mastery of data analysis, showing how you can expand and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

Organization: Global Business Services
Experience Level: Early Professional
Job Type: Full-time

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