SQL Data Engineer – Azure Synapse – Data Platform Modernization

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Global TI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

🤝 B2B

🤖 Artificial Intelligence

🏢 Enterprise

B2B • Artificial Intelligence • Enterprise

Global TI is an experienced Brazilian IT services and solutions provider with over 24 years serving large enterprises nationwide. The company delivers infrastructure planning and migration (on-premises, hybrid and cloud), process automation (including RPA), data management and analytics, AI-powered solutions, custom application development, innovation and IT governance services, and specialist staff allocation. Global TI positions itself as a strategic B2B partner focused on technology-driven transformation, compliance-aware migrations (e. g. , CNPJ alphanumeric readiness), and tailored solutions to boost operational efficiency and business outcomes.

📋 Description

• Develop and optimize Stored Procedures in SQL. • Participate in migrating SAS processes to Azure Synapse. • Interpret business rules embedded in SAS code. • Validate data consistency and equivalence between legacy and modern environments. • Perform data quality analyses, reconciliation, and identify inconsistencies. • Collaborate with technical and business teams throughout the modernization process. • Contribute to performance improvements and optimization of implemented solutions.

🎯 Requirements

• Strong experience with SQL Server and T-SQL. • Development of Stored Procedures. • Experience with Views, CTEs, Window Functions, temporary tables, and transactions. • Knowledge of relational data modeling. • Experience handling large volumes of data. • Performance tuning and execution plan analysis. • Experience with ETL processes. • Experience in data validation and data quality (Data Quality). • Analytical ability to interpret business rules and investigate discrepancies between databases. • Knowledge of SAS (DATA STEP and PROC SQL) to interpret legacy code (nice to have). • Experience with Azure Synapse Analytics (nice to have). • Knowledge of Git and code versioning (nice to have). • Experience with PySpark and Spark SQL (nice to have). • Experience in Data Warehouse migration, ETL, or data platform modernization projects (nice to have). • Experience using AI tools to support development, such as GitHub Copilot, Microsoft Copilot, Cursor, or ChatGPT (nice to have).

🏖️ Benefits

• We are looking for professionals who are: Analytical and investigative. • Organized and detail-oriented. • Proactive and collaborative. • Communicative and comfortable working in a team. • Committed to quality and excellence in deliverables. • Able to work autonomously to solve complex problems.