Veja oportunidades remotas de Python e confirme locais aceitos antes de aplicar.
Esta página reúne vagas remotas com elegibilidade de localização visível para profissionais de desenvolvimento, dados, DevOps, QA, suporte e outras áreas de TI.
Use Python como filtro de stack sem alterar os nomes originais dos cargos, comparando senioridade, países aceitos e prontidão para aplicação.
Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Twilio · Finance
Own and evolve Twilio's suite of business intelligence tools, driving governance, performance, and long-term roadmap decisions
Cloudflare · Business Intelligence
Design and implement key features of our internal applications
Cloudflare · Business Intelligence
Design and implement core components of our data pipelines and services in Go and Scala, with a focus on scalability, performance, and long-term maintainability.
Cloudflare · Business Intelligence
Deploy, manage & support ML Applications & Services on Kubernetes
Cloudflare · Accounting and Finance
Build the Future of Assurance: Develop end-to-end (full stack) applications that automate control testing, and risk monitoring across Cloudflare’s global infrastructure.
Cloudflare · Business Intelligence
Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed
Tech Holding
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.
MediaRadar · Data Science
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
Mrsool · Data Science
Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications.
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Hone Health · Data Science
Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.
3Pillar Global
Understanding the business requirements
Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
Mondelēz International
Design and Build:Develop and implement scalable, secure, and cost-effective cloud-based data solutions.
Maropost · Data Science
Design and build scalable data engineer services that power analytics, reporting, machine learning, and AI workloads across Maropost products.
Groundtruth India Pvt Ltd · Developer
Architect Scalable Pipelines: Oversee the design and deployment of large-scale distributed data processing jobs using PySpark on Amazon EMR clusters and serverless AWS Glue ETL jobs.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Moniepoint · Data Science
Build and maintain robust data pipelines processing large volumes of data
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Ira Commerce · Data Science
Develop and maintain scalable data pipelines to support business requirements.
CertifID · Data Science
Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.
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