Snowflake Data Architect

Nexify Infosystems; Canoas; Presencial; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A technology services company in Brazil is seeking a skilled data engineer to develop automated data pipelines in Snowflake. The ideal candidate has at least 4 years of related experience, a strong background in database design, and proficiency in Snowflake, SQL, and Python. Responsibilities include building configurable solutions, partnering with business analysts, and working in an agile team to deliver high-quality data products. Knowledge of tools like DBT and Azure is an advantage.

Qualificações

• Minimum of 4 years of related experience in data engineering.
• In-depth knowledge of data models and database design.
• Experience with data integration and cloud platforms.

Responsabilidades

• Develop automated data pipelines in Snowflake.
• Build reusable and configurable metadata-driven solutions.
• Partner with analysts to implement business stories.
• Work on agile teams to iterate and release solutions.

Conhecimentos

Snowflake

DBT

SQL

Python

Agile methodologies

Azure

Power BI

Tableau

CI / CD pipeline

Formação académica

B.S. in Computer Science or MIS

Ferramentas

AWS

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.