Senior Data Developer, Brazil

Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs.

Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy.

Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability.

Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms.

Collaboration: Work closely with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making.

Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions.

Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes.

Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems.

Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.

• Experience with major Cloud Platform providers (Azure, AWS, or GCP)
• Experience with data platforms Databricks or Snowflake
• Good level of English B2 or above
• Experience working with international clients
• Strong experience with data pipeline development and ETL/ELT processes
• Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar)
• Experience with SQL and at least one programming language (Python, Scala, or Java)
• Understanding of data modeling and database design principles
• Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.)
• Experience with streaming data platforms (Kafka, Pub/Sub, Kinesis)
• Certifications in cloud platforms or data engineering
• Spanish communication (reading, writing, and speaking is mandatory)