Data Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

💵 ₹2M - ₹3M / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 34 days.
• 124 open roles for a team of 134.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design and implement robust ETL pipelines that ingest, transform, and store data from diverse sources into a unified data warehouse • Build and maintain dashboards and data visualizations using Streamlit to provide real-time insights for product, marketing, and engineering teams • Integrate Posthog event data into the analytics pipeline and create segmented user funnels for product optimization • Develop and maintain LangChain workflows to power conversational AI features that interact with structured data • Employ deepeval to automate evaluation of machine learning models, ensuring model performance aligns with business KPIs • Optimize SQL queries and database schemas for speed, reliability, and scalability across large datasets • Collaborate with data scientists to provision and manage queryable data lakes and data marts • Implement data governance, security, and privacy controls to comply with industry regulations • Monitor pipeline health, troubleshoot failures, and iterate on performance enhancements • Document data architecture, pipeline logic, and best practices for internal and external stakeholders

🎯 Requirements

• 3+ years of professional experience building data pipelines and analytics platforms in a production environment • Strong programming skills in Python, with extensive experience in writing reusable, testable code • Deep knowledge of SQL and experience with modern database systems such as PostgreSQL, BigQuery, or Snowflake • Proven track record of integrating Posthog for behavioral data ingestion and analysis • Hands-on experience with deepeval or similar model evaluation frameworks • Familiarity with LangChain for building LLM-driven data workflows and prompt engineering • Solid understanding of Streamlit or comparable open-source toolkits for building interactive dashboards • Ability to collaborate effectively with cross-functional teams in a remote, agile environment • Strong problem-solving mindset, with the capacity to troubleshoot complex data issues under tight deadlines • Commitment to code quality, documentation, and continuous learning in the fast-moving data engineering landscape

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