Senior Data Engineer

This role is for one of the Weekday's clients

Min Experience: 5+ years

Location: Mumbai, Maharashtra, India
JobType: full-time

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 modern 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