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Snowflake Data Architect

Nexify Infosystems

Salvador

Presencial

BRL 80.000 - 110.000

Tempo integral

Hoje
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Resumo da oferta

A tech company in Brazil is seeking an experienced data engineer to develop automated data pipelines in Snowflake. The ideal candidate has a B.S. in Computer Science and 4+ years of experience with SQL, Python, and data integration. Responsibilities include collaborating with business analysts, automating testing and deployment, and working within an Agile team. Opportunities for continuous learning and improvement are provided, fostering a culture of innovation.

Qualificações

  • Minimum of a B.S. in Computer Science, MIS or related degree and 4+ years of related experience.
  • In depth knowledge of Snowflake, DBT, SQL, and Python.
  • Experience with CI/CD pipelines and Agile methodologies.

Responsabilidades

  • Develop automated data pipelines and data stores in Snowflake.
  • Partner with business analysts to groom stories and implement those stories.
  • Work on an agile team to quickly iterate and release solutions.

Conhecimentos

Snowflake
SQL
Python
Data Pipelines
Agile methodologies

Formação académica

B.S. in Computer Science or related degree

Ferramentas

Tableau
Power BI
Azure cloud
Dagster
Descrição da oferta de emprego
Role Description : Qualifications
  • Minimum of a B.S. in Computer Science, MIS or related degree and 4+ years of related experience.
  • In depth knowledge of Snowflake, DBT, SQL, python, database designs and data Models,
  • Experience with Dagster, Data Pipelines, Relational or Columnar databases, Sigma reporting or Power BI or Tableau, Agile methodologies Scrum or Kanban, CI / CD pipeline, Azure cloud
Services
  • ETL and data integration experience
  • Experience with cloud platforms like AWS or Azure is a plus
Tasks and Responsibilities
  • Develop automated data pipelines and data stores in Snowflake. This includes designing, implementing, testing, debugging, and deploying.
  • Build metadata driven solution that is reusable and highly configurable.
  • Automate testing and deployment in Snowflake.
  • Partner with business analysts to groom stories and implement those stories.
  • Work on an agile team to quickly iterate and release solutions.
  • Provide technical advice and assist end-users in solving problems.
  • Continuously learn new skills and make improvement in the product.
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