
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.
🔥 0 minutes 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 and implement enterprise-scale Databricks and cloud data platforms • Develop data engineering and ETL/ELT solutions using Databricks, Apache Spark, PySpark, Python, SQL, and Delta Lake • Apply Lakehouse architecture, data modeling, and data warehousing practices • Integrate data platforms and systems at enterprise scale • Implement CI/CD and DevOps practices for production-grade data platforms • Optimize platform and workload performance • Use Unity Catalog and MLflow • Provide solution architecture and systems integration • Consult with clients and manage stakeholders • Present solutions and provide technical leadership • Work EST time zone / night shift • Support long-term contract engagements and potentially dual projects
• 12+ years of overall IT experience • Strong hands-on Databricks experience • 10+ end-to-end Databricks implementation projects • Enterprise-scale cloud data platform experience • Experience with production-grade data platforms and Lakehouse architecture • Proficiency in Databricks, Apache Spark, PySpark, Python, SQL, AWS, Azure, GCP, Lakehouse Architecture, Data Engineering, ETL/ELT, Data Modeling, Data Warehousing, CI/CD, DevOps, Delta Lake, Unity Catalog, MLflow, Performance Optimization, Solution Architecture, and Systems Integration • Strong client-facing consulting and stakeholder management skills • Excellent communication, presentation, and leadership skills • Mandatory Databricks Certified Data Engineer Professional certification • Availability to work EST time zone / night shift
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