Chief Data Architect

Bebeedataengineering; Porto Alegre; Presencial; BRL 200.000 - 250.000; Tempo integral

Resumo da oferta

A data analytics company in Porto Alegre is seeking a skilled Data Engineering Professional to join its product and technology team. This individual will build and maintain data pipelines, analyze large datasets, and develop interactive dashboards for effective communication of key metrics. Candidates should have over 3 years of experience in data engineering, proficiency in SQL, and familiarity with data visualization tools. This role offers a fantastic opportunity for career growth in a dynamic environment.

Qualificações

• 3+ years of experience in data engineering or a related field.
• Proficiency in SQL and experience with Python or another scripting language.
• Proven ability to analyze large datasets and generate insights that drive business impact.

Responsabilidades

• Design, build, and maintain scalable data pipelines and ETL processes.
• Clean, validate, and structure raw data from various sources.
• Analyze large datasets to identify trends and actionable insights.
• Develop and maintain interactive dashboards and reports.
• Collaborate with cross-functional teams to define data needs.

Conhecimentos

Data analysis

SQL proficiency

Python or another scripting language

Data visualization

Data pipeline development

Ferramentas

Tableau

Power BI

Snowflake

BigQuery

Redshift

Descrição da oferta de emprego

Unlock Career Growth as a Data Engineering Professional

We are seeking a skilled Data Engineer to support our product and technology team.

As the first and only dedicated data analytics team member, you will be responsible for building and maintaining data pipelines, analyzing data, and enabling data‑driven decision‑making across the organization.

• Design, build, and maintain scalable data pipelines and extract, transform, load (ETL) processes to ensure seamless data integration and analysis.
• Clean, validate, and structure raw data from various sources to guarantee data quality and usability.
• Analyze large datasets to identify trends, patterns, and actionable insights that drive business impact and support strategic decision‑making.
• Develop and maintain interactive dashboards, reports, and visualizations to communicate key performance metrics to stakeholders effectively.
• Collaborate cross‑functionally with teams (e.g., finance, operations, marketing) to define data needs and solve complex business problems using data‑driven solutions.

• 3+ years of experience in data engineering or a related field.
• Proficiency in SQL and experience with Python or another scripting language.
• Proven ability to analyze large datasets and generate insights that drive business impact.
• Familiarity with dashboarding and analytics platforms such as Tableau, Power BI, or similar.
• Hands‑on experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift).