Snowflake Data Architect

Nexify Infosystems; Carapicuíba; Presencial; BRL 100.000 - 150.000; Tempo integral

Resumo da oferta

A technology solutions company in Brazil is seeking a skilled individual to develop automated data pipelines and data stores in Snowflake. The ideal applicant will have a B.S. in Computer Science or a related field, along with at least 4 years of experience. Key responsibilities include building configurable solutions, automating testing, and working in an agile team. The role demands strong skills in Snowflake, DBT, SQL, and Python, making it essential for the next step in your data engineering career.

Qualificações

• Minimum of 4+ years of related experience.
• In-depth knowledge of Snowflake, DBT, SQL, and Python.
• Experience with data pipelines and relational databases.

Responsabilidades

• Develop automated data pipelines and data stores in Snowflake.
• Build metadata-driven solutions that are 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.

Conhecimentos

Snowflake

DBT

SQL

Python

Data Models

Agile methodologies

CI / CD pipeline

Azure cloud

Formação académica

B.S. in Computer Science, MIS or related degree

Ferramentas

Power BI

Tableau

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.