Data & Insights Analyst

Summary

Join Pismo, a technology company providing a comprehensive processing platform for banking and financial markets, as a Data Engineer. This remote position, based in Brazil, involves designing, building, and maintaining scalable data pipelines. You will support analytics and machine learning workflows, implement infrastructure as code using Terraform, and ensure data quality and security. Collaboration with cross-functional teams is crucial for data modeling and strategic insights. The role requires proficiency in SQL, Python, and experience with AWS services and data orchestration tools.

Requirements

• For this role, you must be based in Brazil
• Proficiency in English at B1 level (Intermediate)
• Advanced SQL skills for manipulating and analyzing large-scale datasets
• Proficiency in Python focused on automation, data analysis, and API integrations
• Strong experience with Databricks , including notebooks, Delta Lake, and integrations
• Solid knowledge of AWS services: Glue (serverless ETL)
• Athena (serverless SQL queries)
• S3 (data storage)
• Lambda (serverless function execution)
• Hands-on experience with Terraform for infrastructure as code
• Proficient in Git for version control and team collaboration
• Strong understanding of BI and data modeling for visualization and strategic analysis
• Experience with data orchestration tools (e.g., Airflow)
• Background working with high-volume data and performance-focused environments
• Familiarity with modern data architecture (e.g., Data Lakehouse, medallion architecture)

Responsibilities

• Design, build and maintain scalable and automated data pipelines
• Support analytics and machine learning workflows across different teams
• Implement and manage infrastructure as code using Terraform
• Ensure data quality, security, and governance throughout our systems
• Optimize data workflows for performance and cost efficiency
• Collaborate with cross-functional teams to model data for business intelligence and strategic insights
• Orchestrate data pipelines using tools like Airflow

Preferred Qualifications

• Experience with Machine Learning and AI tools such as: AWS Bedrock (generative and foundational models)
• AWS SageMaker (ML model creation, training, and deployment)
• Knowledge of DataOps practices and CI/CD pipelines for data workflows

Benefits

This is a remote position