Snowflake Data Architect

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

Resumo da oferta

A tech company in Brazil is seeking an experienced data engineer to develop automated data pipelines and data stores in Snowflake. Candidates should possess a B.S. in Computer Science and over 4 years of experience in related fields. The role requires proficiency in SQL, Python, and knowledge of Agile methodologies. The selected individual will work closely with business analysts and other team members in a dynamic environment focused on delivering high-quality data solutions.

Qualificações

• Minimum of 4+ years of related experience.
• In-depth knowledge of database designs and data models.

Responsabilidades

• Develop automated data pipelines and data stores in Snowflake.
• 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.

Conhecimentos

Snowflake

SQL

Python

DBT

Agile methodologies

Formação académica

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

Ferramentas

Azure cloud

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.