
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
🔥 1 hour ago
Where this job comes from
Posted on Weekday (YC W21)'s careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
• Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications, financial reporting, analytics, and data products • Apply 3NF Modeling principles to create normalized relational data structures • Develop dimensional data models using star and snowflake schemas, facts, dimensions, and hierarchies • Design and optimize data warehouse structures for data integration, storage, transformation, and retrieval • Write, review, and optimize complex SQL queries • Collaborate with business stakeholders to translate functional requirements, reporting needs, and data relationships into modeling solutions • Establish data modeling standards, naming conventions, documentation, metadata, and best practices • Collaborate with data engineering and ETL/ELT teams to implement data models across enterprise data platforms • Evaluate data architectures and recommend improvements to scalability, performance, data quality, and maintainability • Support data governance, master data management, and data quality initiatives • Lead design discussions, conduct model reviews, and provide technical guidance
• Minimum 8+ years of experience • Strong hands-on experience in 3NF Modeling and relational database design • Expertise in Dimensional Modeling, including star and snowflake schemas • Solid understanding of Data Warehousing concepts, architecture, and implementation • Proficiency in SQL, database structures, data relationships, and query optimization • Experience translating complex business requirements into scalable enterprise data models • Strong communication, stakeholder management, analytical, and problem-solving skills • Experience with Snowflake and enterprise cloud data platforms (good to have) • Hands-on knowledge of ERWin and ER/Studio data modeling tools (good to have) • Familiarity with Databricks, Microsoft Fabric, and SAP data environments (good to have) • Understanding of ETL/ELT processes, data integration, metadata management, and data governance (good to have)
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