
51 - 200 employees
🤝 B2B
🤖 Artificial Intelligence
Software • B2B • Artificial Intelligence
Kognit is a company specialized in creating unique, tailored, and innovative digital solutions for the corporate market. With 18 years of experience, Kognit helps global companies leverage technology to positively transform their businesses, markets, and the world. The company coordinates and executes projects globally, delivering innovative and scalable software solutions that provide high added value. Kognit is committed to understanding business objectives and providing insights that assist clients in achieving positive transformations in their operations and markets.
🕒 June 26
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
🤝 B2B
🤖 Artificial Intelligence
Software • B2B • Artificial Intelligence
Kognit is a company specialized in creating unique, tailored, and innovative digital solutions for the corporate market. With 18 years of experience, Kognit helps global companies leverage technology to positively transform their businesses, markets, and the world. The company coordinates and executes projects globally, delivering innovative and scalable software solutions that provide high added value. Kognit is committed to understanding business objectives and providing insights that assist clients in achieving positive transformations in their operations and markets.
• Model and implement the data warehouse and a data lake on S3. • Implement an offline Feature Store (SQL Server, point-in-time correctness) and an online Feature Store (Redis). • Develop ETL/ELT pipelines with versioning, data lineage, and data quality tests. • Evolve existing pipelines and analytical dashboards as the starting point for the data lake. • Integrate event-driven architecture (Azure Service Bus / Kafka) for real-time features. • Support MLOps pipelines (Azure ML, MLflow) in collaboration with ML Engineers.
• Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Economics, or related fields. • English or Spanish (international client). • Advanced SQL, preferably SQL Server. • Python for data pipelines. • AWS — S3, RDS; familiarity with ECS/EC2 and Application Load Balancer. • Experience building production ETL/ELT pipelines with data quality testing and versioning. • Good practices in data lineage, point-in-time correctness, and partitioning.
• Contractor (PJ) — we are looking for long-term partners. • Remote work. • Workload: 8 hours per day (168 hours/month). • Time bank with quarterly settlement (payment for positive balance hours). • Variable compensation after 4 months of contract. • Flexible card: meal allowance of BRL 700.00 per month (Flash card). • Paid time off: 7 consecutive days after 1 year of contract; 15 days after 2 years; 21 days between years 5 and 7; and 30 days after 8 years of contract. • Birthday day off (one day off during your birthday month). • Partnership with Wellhub. • Partnership with Open English. • Partnership with FIAP. • Partnerships with clinics and psychological services.
Apply Now🕒 June 26
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🗣️🇧🇷🇵🇹 Portuguese Required
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Airflow
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