Software Engineer (Data Migration & Integration)

Review existing CRM and legacy data structures and assist in designing target data models aligned with enterprise systems Develop and support ETL pipelines using SSIS and Azure services for data extraction, transformation, and loading Implement incremental data synchronization and change tracking processes Assist with data migration execution, validation, reconciliation, and post-migration stabilization Create and optimize SQL queries, stored procedures, and database objects Ensure data accuracy, consistency, and integrity throughout migration activities Prepare structured datasets for reporting and analytics teams Support integrations between enterprise systems and downstream platforms using APIs and event-driven workflows Participate in performance tuning and troubleshooting of data pipelines and databases Follow established best practices for version control, documentation, and deployment processes Requirements 3–6+ years of experience in database development, data engineering, or data migration projects Solid understanding of data modeling concepts including ERDs, relationships, indexes, views, stored procedures, and functions Strong SQL development skills with basic performance optimization knowledge Hands-on experience with SSIS including data flows, packages, and scheduling Experience working with structured and semi-structured data formats such as CSV, XML, JSON, TXT, Parquet, and relational tables Knowledge of data warehousing concepts such as dimensions, facts, and metadata Exposure to Azure services including Data Lake, Function Apps, and Logic Apps Familiarity with APIs and scripting for data processing and automation Experience using GitHub or similar version control tools Strong analytical skills and ability to work collaboratively within technical teams Nice to Have Exposure to enterprise CRM or ERP platforms Experience with Microsoft Dynamics or similar enterprise solutions Experience supporting reporting and analytics environments Background in financial or enterprise data environments requiring high accuracy