
501 - 1000 employees
Founded 1994
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
TOPMIND is a technology services company with over 22 years of experience that helps organizations in Brazil, Latin America and the US accelerate digital transformation. It provides IT outsourcing and consultancy, data projects (BI, analytics, machine learning, big data), chatbot and AI solutions, RPA, telecom and asset management, and workspace automation, along with training, innovation labs and change journeys to build capabilities and drive innovation.
🕒 April 10
🗣️🇧🇷🇵🇹 Portuguese Required
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501 - 1000 employees
Founded 1994
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
TOPMIND is a technology services company with over 22 years of experience that helps organizations in Brazil, Latin America and the US accelerate digital transformation. It provides IT outsourcing and consultancy, data projects (BI, analytics, machine learning, big data), chatbot and AI solutions, RPA, telecom and asset management, and workspace automation, along with training, innovation labs and change journeys to build capabilities and drive innovation.
• Technically lead data engineering initiatives within IT Analytics • Define data architecture (Data Lake, Data Warehouse, pipelines) • Build and optimize scalable data pipelines (ETL/ELT) • Ensure data quality, governance, and reliability • Prepare data for analytical consumption (BI and dashboards) • Work closely with business areas, translating needs into data solutions • Mentor other data engineers
• Strong experience in data engineering • Advanced SQL proficiency • Experience with Python and/or Scala • Solid experience with data modeling (star schema, snowflake) • Experience with Data Warehouse and/or Data Lake • Experience with ETL/ELT and building pipelines • Cloud: AWS, Azure, or GCP • Modern platforms: Databricks, Snowflake, BigQuery • Orchestration: Airflow, Azure Data Factory, or similar • BI experience (strong plus) • Knowledge of tools like Power BI, Tableau, or Looker • Experience creating analysis-ready datasets • Understanding of metrics, KPIs, and business requirements
• Language: Advanced English
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