[Job - 29706] Senior Data Developer (Azure and Databricks), Brazil
Remote · Brazil
Job Summary
Senior Data Developer to support a strategic partner in the evolution, maintenance, and continuous improvement of global financial closing processes. Responsibilities include developing, maintaining, and improving data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable curated datasets; integrating new data sources; supporting financial reconciliation, P&L routines, and global closing processes; optimizing transformations and query performance with Delta Lake/Lakehouse; monitoring and troubleshooting pipelines; collaborating with finance and technology teams; contributing to data governance, validation, and documentation; and supporting AI model initiatives within data workflows.
Required Qualifications
- Strong experience with Databricks, including notebooks, jobs, workflows, clusters, and best practices for building scalable data solutions
- Proficiency in data processing using PySpark, Python, and SQL, with hands-on experience transforming raw data into curated and reliable datasets
- Experience with Delta Lake and Lakehouse architecture, including Delta tables, incremental processing, data optimization, and structured data layers
- Knowledge of Azure data ecosystem, especially Azure Data Lake Storage, data integration patterns, and cloud-based data processing
- Experience supporting financial data pipelines, preferably involving reconciliation, P&L, financial closing, or other critical business processes
- Hands-on experience maintaining and improving existing pipelines, including troubleshooting, performance tuning, documentation, and production support
- Ability to work with structured and semi-structured data, ensuring data quality, traceability, and readiness for analytical and business consumption
- Problem-solving mindset, with the ability to investigate complex data, understand root causes, and propose practical solutions in challenging data environments
- Interest or experience with AI models and advanced data capabilities, supporting the integration of AI-driven solutions into data workflows
- English proficiency for interaction with global teams, technical discussions, and documentation
- Nice to Have: Familiarity with AI frameworks and methodologies
- Experience with advanced capabilities, such as Delta Lake optimization, Databricks Workflows and Databricks Apps or Streamlit
- Experience with data quality and observability practices, including validation rules, reconciliation checks, monitoring, logs, alerts, and pipeline execution metrics
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