Senior Data Engineer

Posted 3 Days Ago
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Mumbai, Maharashtra, IND
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Design and own canonical data models and data warehouse/marts for sports intelligence. Build, monitor and operate batch and live data pipelines, manage large migrations and entity resolution, enforce data quality and versioned schema contracts, and partner with product and modelling teams to deliver durable data interfaces while setting technical direction for the data team.
Summary Generated by Built In

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 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

Skills Required

  • 5+ years in data engineering
  • Strong dimensional modelling and data warehouse design; expert SQL
  • Proficient in Python
  • Demonstrated experience with entity resolution and deduplication at scale
  • Experience designing and versioning schemas and interfaces consumed by other teams
  • Experience with modern data warehousing and orchestration tooling
  • Experience with cloud data infrastructure
  • Ability to work independently in a small team and set technical direction
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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