Senior SQL Developer/Data Engineer

Summary

Join our expanding data team as a Senior SQL Developer/Data Engineer in Brazil! This full-time, work-from-home position requires strong SQL development skills, AWS data services experience, and Power BI proficiency. You will design, develop, and optimize data solutions, collaborating with cross-functional teams to deliver actionable insights. Responsibilities include building ETL/ELT pipelines, leveraging AWS services, and developing Power BI dashboards. The ideal candidate will have expertise in SQL, relational databases, and ETL tools, along with AWS data services experience. This role offers the opportunity to contribute significantly to a growing organization.

Requirements

• Experience in SQL development and data engineering roles
• Expert-level proficiency in writing and optimizing SQL queries, views, functions, and stored procedures
• Strong understanding of relational database concepts, normalization, and indexing
• Hands-on experience with major RDBMS platforms such as Microsoft SQL Server, PostgreSQL, or Oracle
• Experience with ETL tools such as SSIS, Talend, or custom scripting
• Proficiency in AWS data services (e.g., Redshift, Glue, S3, Lambda)

Responsibilities

• Design, develop, and optimize complex SQL queries, stored procedures, and database structures to support business and application requirements
• Build and maintain robust ETL/ELT pipelines for data ingestion, transformation, and integration across multiple systems
• Collaborate with analysts, developers, and business stakeholders to understand data requirements and deliver efficient, scalable solutions
• Leverage AWS services (e.g., Redshift, Glue, S3, Lambda) to build cloud-native data workflows
• Develop and maintain Power BI dashboards and reports to support business decision-making
• Monitor and improve database performance through indexing, query tuning, and execution plan analysis
• Ensure data quality, consistency, and security across all data assets

Preferred Qualifications

• Experience with Power BI for data visualization and dashboard development
• Familiarity with data modeling techniques (dimensional modeling, star/snowflake schemas)
• Knowledge of Python or other scripting languages for data manipulation
• Experience with CI/CD pipelines and version control (e.g., Git)
• Exposure to data governance, data cataloging, and metadata management tools

Benefits

Work from home