Role Overview We are seeking a strong Data Analyst to support data integration and migration initiatives. The ideal candidate will have expertise in data mapping, business logic validation, and cross-platform reconciliation, ensuring accurate and consistent data flow across systems. Key Responsibilities Perform Source-to-Target (S2T) mapping for data migration and integration projects. Validate business logic and transformation rules applied during ETL processes. Conduct cross-platform data reconciliation to ensure data integrity between legacy and target systems. Document data flows, mapping specifications, and transformation logic in detail. Collaborate with data engineers, developers, and business stakeholders to clarify requirements and resolve discrepancies. Maintain and update data dictionaries, metadata, and mapping documentation for governance and compliance. Required Skills Strong experience in data analysis, data profiling, and data quality checks. Proficiency in SQL for querying and validating data across multiple platforms. Hands-on experience with ETL tools (e.g., Talend, Informatica, DataStage) and data mapping utilities. Familiarity with data warehousing concepts, dimensional modeling, and metadata management. Excellent documentation skills and ability to create clear mapping specifications. Knowledge of banking/financial domain (preferred but not mandatory).
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The Client is seeking an experienced Salesforce Developer to lead and participate in development activities across multiple Salesforce platforms. This role involves building and unit testing components, guiding a development team, collaborating with architects for proof...