Sênior SQL/Python

Accountabilities: Develop and support existing code and data solutions using SQL Server, SSIS, and Python. Design, implement, and optimize high-quality database solutions, including stored procedures, functions, views, triggers, and other SQL Server objects. Develop and maintain T-SQL procedures and scripts, with a strong focus on performance, reliability, and data integrity. Analyze existing SQL queries and recommend improvements to optimize database performance. Develop data migration procedures and scripts while ensuring accuracy and consistency. Work with operational databases and data warehouse environments, including dimensional data models. Interpret business reporting requirements, research relevant data, and develop useful reporting deliverables. Provide scheduled management reporting and investigate exceptions related to data and asset movements. Develop, troubleshoot, and maintain SSIS packages and provide support for SQL Server Reporting Services. Identify database defects, investigate root causes, and recommend technical solutions and performance improvements. Support QA activities and code deployment across different database environments. Manage code versions and contribute to controlled database deployment processes. Respond to technical issues in a timely manner, clearly communicating problems, impacts, and proposed solutions. Collaborate with application teams and other stakeholders to understand requirements and resolve data-related concerns. Apply AI-assisted development tools where appropriate to improve productivity and support SQL and scripting activities. Requirements 5+ years of professional experience in SQL Server development, database engineering, or a closely related role. Strong expertise in Microsoft SQL Server, particularly versions 2017, 2019, or 2022. Advanced knowledge of SQL and T-SQL, including stored procedures, functions, views, triggers, and query optimization. Practical experience with SSIS and familiarity with SQL Server Reporting Services (SSRS). Experience developing with Python and applying it to data or automation tasks. Knowledge of database development, data management principles, and dimensional data modeling. Experience working with both operational systems and data warehouse environments. Familiarity with code version management and database deployment practices. Knowledge of AWS and/or Azure environments. Strong troubleshooting and problem-solving abilities, particularly for database availability, performance, and data integrity issues. Ability to understand business reporting requirements and translate them into effective technical data solutions. Strong written and verbal communication skills, with the ability to collaborate effectively with application and data teams. Self-starter mindset, organization, adaptability, and willingness to take ownership of technical challenges. Ability to work effectively in a remote environment with flexibility regarding work priorities and schedules. Experience with AI code-generation tools for SQL or PowerShell is a plus. Additional experience with Oracle databases, PL/SQL, Informatica, workload automation, ServiceNow, or change management processes is desirable. Benefits 100% remote work from Brazil. PJ (contractor) engagement model. Opportunity to work on data solutions within a global financial and insurance environment. Exposure to SQL Server, Python, SSIS, cloud technologies, and AI-assisted development tools. Opportunity to collaborate with international and cross-functional technology teams. Technical challenges involving database development, optimization, reporting, migration, and data management.