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Data Engineer - Solution Expert
About the role
METRO Global Solution Center (GSC) India in Pune is a strategic hub driving METRO’s global transformation, delivering integrated expertise across IT, data, and finance solutions. As a Data Engineer - Solution Expert, you will lead financial reporting data modeling and engineering on Google Cloud Platform and BigQuery, migrating SAP BW reporting logic to cloud-native SQL solutions and building scalable ELT/ETL pipelines. You will design enterprise reporting with MicroStrategy, partner with business and IT stakeholders, and support advanced analytics and AI/ML initiatives. This is a hybrid, full-time role requiring 5–7 years of experience.
What you’ll do
- Define and maintain data models for financial reporting data on Google Cloud Platform and BigQuery, replacing SAP BW outputs.
- Model financial reporting data across dimensions such as account, entity, store, period, reporting scenario, currency, KPI, and reporting hierarchy.
- Design scalable, secure, and cost-efficient data warehouse solutions and reporting-ready data layers supporting standard reports, dashboards, and reconciliation.
- Establish data integration, ingestion, transformation, and storage standards for SAP, Tagetik, and other finance-related data sources.
- Design and implement ELT/ETL frameworks, data pipelines, and reusable data engineering patterns, and optimize BigQuery performance, partitioning, clustering, and workload management.
- Collaborate to migrate reporting and analytical logic from SAP BW 7.5 to BigQuery, translating BW data models, transformations, and financial reporting business logic into scalable SQL-based cloud sol
- Design and implement enterprise reporting solutions using MicroStrategy, including schemas, attributes, metrics, facts, intelligent cubes, reports, dashboards, and dossiers, and design semantic layers
- Act as technical lead for financial reporting data models and analytics solutions, collaborate with business, IT, SAP, and cloud stakeholders, and support future innovation initiatives including advan
What you’ll bring
- Minimum 5 years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
- Minimum 3 years of hands-on experience with Google Cloud Platform and BigQuery.
- Experience working with financial reporting, controlling, planning, consolidation, or management reporting solutions.
- Proven experience designing and implementing enterprise-scale cloud data warehouse and analytics solutions.
- Experience delivering end-to-end data warehouse modernization or migration projects.
- Experience working with SAP data sources, preferably SAP ECC, SAP BW, SAP S/4HANA, or Tagetik Consolidation.
- Strong experience developing enterprise reporting solutions using MicroStrategy.
- Advanced SQL and ETL/ELT architecture and implementation skills.
Nice to have
- Experience with SAP BW-to-cloud migration initiatives.
- Experience with Tagetik or comparable consolidation and performance management solutions.
- Experience with group reporting, management reporting, or controlling processes.
- Knowledge of Google Cortex Framework.
- Experience with modern analytics platforms such as Looker, Power BI, or Tableau.
- Understanding of AI/ML-enabled data platforms and advanced analytics architectures.
- Experience working in large-scale retail, wholesale, or consumer goods organizations.
- Data Vault knowledge is desirable.