India-Miracle Heights
Exp 5-10 Years
Responsibilities
- Design, develop, and maintain data ingestion pipelines using Microsoft Fabric, Azure Data Factory, and API-based integrations.
- Ingest data from enterprise source systems, including ERP, CRM, WMS, TMS, eCommerce, HR, and legacy platforms into the Bronze-layer.
- Implement incremental data loads, audit controls, reconciliation processes, and validation checks to ensure accuracy and traceability.
- Develop standardized Silver-layer transformations aligned with defined business rules and conformed dimensions.
- Build curated Gold-layer data marts to support finance, sales, and operations analytics requirements.
- Enable batch and near real-time data processing with a focus on availability, performance, and reliability for enterprise workloads.
- Optimize SQL queries, transformations, and pipeline performance to support enterprise-scale workloads.
- Collaborate with cloud data architects and BI engineers to align data models with reporting, semantic, and analytics needs.
- Support foundational data governance by enabling data lineage, metadata capture, and ownership definitions.
- Participate in agile sprint planning, technical design discussions, and sprint reviews.
- Apply data quality frameworks, governance practices, and AI-ready data preparation techniques as part of platform design.
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