Job Description:
- Lead the design, development, and optimization of enterprise-scale Data Warehouse and Data Engineering solutions across cloud platforms including Microsoft Fabric, Azure & AWS.
- Strong hands-on experience using Python for analytics and any reporting tool like Power BI, Tableau etc.
- Strong hands on experience in cloud infrastructure management services, deployment, monitoring.
- Build and optimize scalable ETL/ELT frameworks supporting batch, near real-time, and streaming data processing for analytics, reporting, and downstream applications.
- Develop scalable and maintainable data solutions using Python, advanced SQL, and semi-structured data formats such as JSON and Parquet.
- Ensure enterprise-grade data quality, governance, validation, metadata management, schema evolution, and secure access controls across multi-source and multi-tenant environments.
- Collaborate with product, analytics, engineering, and business stakeholders to translate complex data requirements into scalable technical solutions and long-term platform strategies.
- Drive architecture discussions, best practices, and modernization initiatives for cloud-based analytics, reporting, and data engineering platforms.
- Strong understanding of cloud data warehousing, reporting data models, API-based integrations, and enterprise data platform scalability, performance, and maintainability.
