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Define and maintain data models for financial reporting data on Google Cloud Platform and BigQuery.
Model financial reporting data across key business dimensions such as account, entity, store, period, reporting scenario, currency, KPI, and reporting hierarchy.
Design scalable, secure, and cost-efficient data warehouse solutions supporting financial reporting and analytics use cases.
Design reporting-ready data layers that support standard reports, dashboards, flexible analysis, and reconciliation with existing SAP BW outputs.
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.
Optimize BigQuery performance, data partitioning, clustering, and workload management.
Define and implement monitoring, data quality, and operational support processes.
Collaborate with business and technical teams to migrate reporting and analytical logic from SAP BW 7.5 to BigQuery.
Translate existing BW data models, transformations, and financial reporting business logic into scalable SQL-based cloud solutions.
Support migration of financial reporting capabilities including KPI structures, reporting hierarchies, financial calculations, currency-related logic, and reporting-ready data views.
Support the implementation of SAP ECC, SAP BW, Tagetik, and other finance-related ingestion patterns into BigQuery.
Define and maintain data models for financial reporting data on Google Cloud Platform and BigQuery.
Model financial reporting data across key business dimensions such as account, entity, store, period, reporting scenario, currency, KPI, and reporting hierarchy.
Design scalable, secure, and cost-efficient data warehouse solutions supporting financial reporting and analytics use cases.
Design reporting-ready data layers that support standard reports, dashboards, flexible analysis, and reconciliation with existing SAP BW outputs.
Establish data integration, ingestion, transformation, and storage standards for SAP, Tagetik, and other finance-related data sources.
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Pune, IND
Pune, IND
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Design and implement ELT/ETL frameworks, data pipelines, and reusable data engineering patterns.
Optimize BigQuery performance, data partitioning, clustering, and workload management.
Define and implement monitoring, data quality, and operational support processes.
Collaborate with business and technical teams to migrate reporting and analytical logic from SAP BW 7.5 to BigQuery.
Translate existing BW data models, transformations, and financial reporting business logic into scalable SQL-based cloud solutions.
Support migration of financial reporting capabilities including KPI structures, reporting hierarchies, financial calculations, currency-related logic, and reporting-ready data views.
Support the implementation of SAP ECC, SAP BW, Tagetik, and other finance-related ingestion patterns into BigQuery.
Full-time
Mid-Senior
Onsite
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