This role is for one of the Weekday's clients Min Experience: 5+ years Location: Mumbai, Maharashtra, India

JobType: full-time Requirements Responsibilities :

- Design and own the canonical data model underpinning our sports intelligence products, across multiple sports and data sources - Build and maintain the data warehouse and downstream marts that analytics and modelling work is built on - Own data migration and consolidation of large historical archives onto new models, including entity resolution across sources and eras - Define and enforce data quality standards, validation, and reconciliation processes - Own versioned data interfaces consumed by other engineering teams: schema contracts, deprecation policy, and documentation - Build and operate reliable,



well-monitored data pipelines over live and batch sources - Partner with product and modelling teams to translate requirements into durable data structures - Set technical direction and raise the engineering standard across a growing data team Requirements :
- 5+ years in data engineering, with significant experience owning data models that outlived their first use case - Strong dimensional modelling and data warehouse design; expert SQL - Strong with Python - Demonstrated experience with entity resolution, deduplication, and data quality at scale across messy multi-source data - Experience designing and versioning schemas and interfaces consumed by other teams - Experience with contemporary data warehousing and orchestration tooling, and with cloud data infrastructure - Sound judgement on abstraction and generalisation — knowing when a model should flex for future use cases and when it shouldn't - Ability to work independently in a small team and set direction with limited supervision Must-have skills Python, SQL, Data Warehousing

📌 Senior Data Engineer (Mumbai)
🏢 Weekday AI
📍 Mumbai