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Data Engineer

Weekday AI

Skills

Required

  • analytics
  • SQL
  • Posthog
  • deepeval
  • LangChain
  • Streamlit
  • data pipelines
  • Python
  • modern database systems
  • PostgreSQL / BigQuery / Snowflake
  • behavioral data ingestion
  • model evaluation frameworks
  • LLM‑driven

Preferred

  • behavioral analytics
  • model validation workflows
  • ETL
  • visualizations
  • SQL queries
  • database schemas
  • data governance
  • data architecture
  • pipeline logic

As a Data Engineer, you will design, build, and maintain scalable data pipelines and analytics platforms that drive business insights and product innovations.

Responsibilities

  • Leveraging your expertise in Python and SQL, you will transform raw data into clean, structured datasets, enabling data scientists and product teams to accelerate experimentation.
  • You will integrate Posthog for behavioral analytics, employ deepeval for model validation workflows, and use Streamlit and LangChain to create interactive data tools and prompt-based applications.
  • Your role will ensure data quality, performance, and compliance across the organization while collaborating closely with cross-functional stakeholders to translate data needs into technical solutions.
  • 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.

Pay

Salary: INR 2,000,000–3,000,000

  • 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟯𝟬 𝗟𝗣𝗔)
  • Experience: 3+ yrs

Data Engineer

Weekday AI · India (Remote) · Full-time · Posted 2026-11-10

Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

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