• Execute business-side data migration activities for Commercial and Procurement data objects (Direct and Indirect), in line with global, regional, and country-specific deployment requirements and timelines. • Plan and deliver data migration activities aligned with the Client’s rollout plan and key milestones. • Coordinate and perform data cleansing to ensure high data quality and compliance with defined standards. • Collect, validate, and complete data for manual or constructed data objects, ensuring accuracy and completeness. • Collaborate with IT and technical teams to define, validate, and maintain mappings between legacy systems and target solutions. • Create and maintain master data lists for Commercial and Procurement objects, as required. • Provide business insights and detailed input to support data extraction and transformation processes. • Ensure data readiness across the migration lifecycle, including quality checks, validation, and issue resolution. • Validate that data supports business processes (including Order to Cash) and meets stakeholder requirements. • Perform manual data loads into target systems where required, following governance and control procedures. • Execute data validation checks and provide results, insights, and approvals. • Support testing phases (SIT, UAT, mock loads), including defect identification, triage, and resolution. • Support cutover activities, including final data loads, reconciliation, and validation. • Work closely with the Client’s global data migration team and ensure alignment with delivery frameworks. • Collaborate with business stakeholders, SMEs, and technical teams across regions. • Identify and document business requirements and local market specifics impacting data migration. • Participate in project meetings, including workstream sessions, defect triage, and cutover planning.

We are seeking a highly skilled Data Engineer with extensive experience in Azure Data Lake to contribute to our dynamic team at Creative Chaos. The ideal candidate will be responsible for architecting, developing, and optimizing data pipelines that will facilitate the efficient processing of large datasets. **Responsibilities:** - Designing and implementing robust data pipeline solutions within Azure Data Lake. - Integrating and transforming data from various sources to enable comprehensive analytics and reporting. - Ensuring data quality and integrity, implementing data governance practices. - Collaborating with cross-functional teams to understand data requirements and develop scalable solutions. - Monitoring and optimizing data processing workflows for performance and reliability. - Documenting processes and architecture to ensure maintainability and scalability. - Staying abreast of new Azure technologies and best practices for data engineering.

• Design and implement robust data pipelines, build scalable data lakes. • Enable business insights through efficient data systems. • Collaborate with analysts and stakeholders to define data requirements and support business intelligence efforts. • Monitor and troubleshoot data pipelines to ensure smooth operation. • Stay updated on industry trends and best practices in data engineering.

• Define and lead the enterprise data architecture for the modern data platform • Design scalable data models supporting analytics, reporting, and AI workloads • Lead data mapping initiatives between source systems and target data models • Design strong data relationships and schema structures • Implement Data Vault 2.0 modeling frameworks • Design robust dimensional models (star and snowflake schemas)