Snowflake Data Architect

Nexify Infosystems; Colombo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading data solutions provider in Brazil is seeking a Data Engineer to develop automated data pipelines in Snowflake. The candidate should have strong experience with SQL, Python, and various cloud platforms including Azure. Responsibilities include designing, implementing, and deploying data solutions while collaborating with business analysts. This role offers opportunities for continuous learning and growth in an agile team environment.

Qualificações

• Minimum of 4+ years of related experience.
• In-depth knowledge of database designs and data models.
• Experience with data pipelines and CI/CD processes.

Responsabilidades

• Develop automated data pipelines in Snowflake.
• Design and implement reusable solutions.
• Partner with business analysts for requirement grooming.

Conhecimentos

Snowflake

DBT

SQL

Python

Agile methodologies

Formação académica

B.S. in Computer Science

Ferramentas

Power BI

Tableau

Azure cloud

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.