• Design and implement declarative data pipelines using Lakeflow and Databricks Asset Bundles (DABs) • Build efficient, scalable ingestion patterns using AutoLoader and Change Data Capture (CDC) • Manage metadata, lineage, and access control through Unity Catalog • Develop and maintain complex workflows using Databricks Jobs and orchestration tools • Utilize Terraform to manage AWS resources (S3, EC2) and Databricks workspaces

• Projetar e implementar pipelines de dados eficientes e escaláveis, adequados a diferentes cenários de negócio (Data Lake, Data Warehouse, Data Mart). • Criar e manter pipelines de ingestão e transformação de dados em ambientes GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage). • Definir padrões de modelagem relacional e dimensional (star schema, snowflake, Data Vault, etc.), com foco em performance e usabilidade. • Atuar junto a áreas de negócio para traduzir requisitos em modelos de dados claros e consistentes. • Assegurar qualidade, governança, segurança e compliance em todo o ciclo de vida dos dados. • Monitorar e otimizar custos e performance em nuvem.

Role Description This role focuses on annotating and labeling audio data to help improve AI models. You’ll work with provided tools, clear guidelines, and training materials to ensure high-quality outputs. Strong English comprehension and attention to detail are key. - Accurately annotate and categorize audio clips and texts in the German language - Review and follow detailed labeling instructions and training resources, including documentation and Loom video tutorials - Maintain consistency and high accuracy across all assigned tasks - Join training sessions and participate in receiving or giving quality feedback - Work closely with the Project Manager to meet daily and weekly productivity targets - Flag unclear audio samples or guideline inconsistencies as needed Qualifications - Excellent command of the German language - High attention to detail and ability to focus on repetitive tasks - Stable internet connection and a reliable device suitable for remote full-time work - Self-motivation, punctuality, and the ability to follow structured workflows

• Design and architect scalable, secure, and high-performance data platforms and architectures on Alibaba Cloud • Lead the development of modern data ecosystems including data lakes, warehouses, streaming pipelines, and real-time analytics solutions • Architect and implement solutions leveraging Alibaba Cloud services such as MaxCompute, DataWorks, OSS, ECS, RDS, PolarDB, AnalyticDB, ACK (Kubernetes), Function Compute, and SLB • Define data models, governance frameworks, security standards, and best practices for enterprise-grade data environments • Build and optimize ETL/ELT pipelines and batch/streaming ingestion workflows • Collaborate with cross-functional stakeholders to translate business requirements into scalable, reliable, and compliant data solutions • Establish Infrastructure-as-Code and CI/CD practices for automated deployment and management of data infrastructure • Optimize platform performance, reliability, and cost efficiency through monitoring, tuning, and continuous improvement • Lead cloud modernization and migration initiatives from AWS, Azure, or GCP to Alibaba Cloud data platforms • Provide technical leadership through architecture reviews, standards development, documentation, and mentorship • Troubleshoot complex production issues and ensure high availability of mission-critical data systems