Chief Data Architect
Há 3 dias
Key Objectives: Primary Responsibilities: Build and refine data pipelines utilizing Python, cutting-edge data engineering frameworks, and Snowflake as a central data repository. Design and manage data workflows, ensuring accuracy, scalability, and reliability. Collaborate with data scientists to deploy, monitor, and fine-tune machine learning models. Develop feature engineering pipelines, preprocessing workflows, and model-serving APIs. Integrate data from multiple sources (APIs, databases, cloud storage, streaming platforms). Implement MLOps best practices including versioning, CI/CD for ML, and automated retraining workflows. Optimize data storage, compute usage, and performance within Snowflake and cloud-native tools (AWS, GCP, or Azure). Create and maintain documentation, data catalogs, and operational guides. Monitor data system performance and recommend enhancements. Required Skills & Qualifications: A minimum of 3–7+ years of experience as a Data Engineer, Python Engineer, or similar backend/data role. Strong proficiency in Python, including the development of production-grade data pipelines. Experience with Snowflake—data modeling, Snowpipe, tasks, streams, stored procedures, and performance optimization. Experience with AI/ML workflows: feature engineering, inference pipelines, or deploying models. Proficiency in SQL and relational databases (PostgreSQL, MySQL, SQL Server). Hands-on experience with at least one cloud platform (AWS, GCP, or Azure). Experience using data orchestration tools like Airflow, Prefect, or Dagster. Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar. Strong understanding of data modeling, data warehousing, and distributed systems. Work Environment: Our team works on advanced data solutions with a collaborative environment that promotes innovation and knowledge sharing. We value expertise, professionalism, and open communication. Application Requirements: Please submit your resume, cover letter, and any relevant projects or portfolio pieces for consideration. Additional Information: Due to the competitive nature of our job market, we encourage applicants to apply promptly after reviewing this job description.
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Recife, Brasil Bebeedataengineer Tempo inteiroKey Objectives:Primary Responsibilities:Build and refine data pipelines utilizing Python, cutting-edge data engineering frameworks, and Snowflake as a central data repository.Design and manage data workflows, ensuring accuracy, scalability, and reliability.Collaborate with data scientists to deploy, monitor, and fine-tune machine learning models.Develop...
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