Responsible for developing, optimizing, and maintaining business intelligence and data warehouse solutions with expertise in Google Cloud Platform (GCP). Lead the transition of legacy databases, data warehouses, and multi-cloud workloads to modern GCP architectures, ensuring secure, scalable, and effective data processing. Enable self-service analytics, improve data accessibility, and provide stakeholders with impactful reporting and analytical insights to support strategic business decisions.

-
- Grade: T5:
What Your Main Responsibilities Are:
Accountabilities:
- Data Pipeline Engineering
- Design, develop, and maintain scalable, reliable, and high-performance data pipelines to support growing data volumes and complexity.
- Build and manage APIs, data ingestion frameworks, and streaming/batch data processing solutions on Google Cloud Platform (GCP).
- Cloud Data Integration
- Integrate structured and unstructured data from multiple online and offline sources to create a unified view of customer, operational, and business data.
- Perform data acquisition, processing,



transformation, analysis, and visualization to enable advanced analytics and personalization initiatives.
- Support migration and integration of legacy databases, on-premises data platforms, and other cloud environments into GCP.
- Data Quality & Governance
- Drive data quality, consistency, and readiness for enterprise analytics.
- Define, implement, and continuously improve data governance frameworks, standards, controls, and best practices.
- Establish data validation, monitoring, lineage, and metadata management processes across data platforms.
- Data Transformation & Engineering
- Design and implement ETL/ELT frameworks to cleanse, enrich, and transform data for analytical and operational consumption.
- Develop optimized data models and storage structures to support reporting, self-service analytics, machine learning, and business intelligence workloads.
- Data Enablement & Analytics
- Ensure ente

📌 Data Engineer-senior Ii (Mumbai)
🏢 Fedex AMEA
📍 Mumbai