Data engineer | vaga exclusiva para pessoas com deficiência

Há 1 mês

HOME OFFICE, Brasil Share People Hub Tempo inteiro

Share People Hub in partnership with a global company, is searching for a Data Engineer.

What you ll do:

  • Support Data Engineering team lead to ensure the quality and agility of the team activities
  • Work collaboratively and creatively with other data engineers to develop scalable and maintainable data pipelines using the latest technologies and leading industry practices
  • Build data pipelines that ingest various data source into the Harmonized Data Mesh structure and make it available for consummation for both internal data analytics and data science teams, as well as external clients
  • Debug, unit-test and deploy data pipelines, and optimize
  • Ingest and manage metadata in relation to data and processes
  • Manage, document and version code
  • Participate and promote the Data Engineering best practices cross organization
  • Participate and promote Enterprise Data Governance frameworks
  • Partner with a variety of internal stakeholders across the organization to deliver creative, cutting-edge, high-quality engineering solutions that meet business requirements in a fast-paced, ever-changing business environment
  • Be part of a cross-functional team, directly contributing to feature development and maintenance of a global product;
  • Partner with colleagues to build and maintain tooling for test development, automation, and release processes improvement;
  • Advocate for the user experience when communicating with product, design, and tech;
  • Follow best development practices to achieve continuous improvement;
  • Provide the team with a quality strategy that supports the team s delivery goals;
  • Be constantly challenged to create world-class solutions.

What you ll need:

  • Experience in Data Engineering
  • Eears experience with cloud computing, preferably Azure
  • Strong understanding in the modern data storage and evolution (Data Lake, Delta Lake, Lakehouse etc.)
  • Experience in Data pipeline development using PySpark, Scala etc.
  • Experience working with Big Data frameworks, preferably Databricks etc.
  • Experience working with transactional/relational data and SQL
  • Strong experience in performance tuning and optimizations in PySpark and SQL
  • Strong experience working on Agile teams implementing DevOps practices
  • Strong experience in CI/CD pipelines
  • Excellent communication skills, adapting to various audience types
  • Passionate about innovation and loves solving complex problems in a highly- collaborative, fast-paced team environment

Equal Opportunity & Affirmative Action:

Our client is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

 

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