Tydo

San Francisco
11-50 employees
Tydo is a business intelligence platform for ecommerce brands, retailers, and agencies that aggregates your data into simple, actionable reports.

Lead Data Engineer

Lead Data Engineer

This job is no longer open

About Us

At Tydo, you’ll get the benefits of working directly in the consumer product world while also tackling exciting data engineering problems. We see learning and collaboration as the best parts of our day and believe spending 10% of your time making the other 90% of your life easier as a good bet. We are meeting-lite, lean, and hungry. That being said, we drop things as soon as we can to help each other out. We enjoy working with each other and are keen on solving grisly eCommerce and logistics problems.

We are a data first company; we load it, transform it, and tell stories with. We’re backed by Greylock Partners, Y Combinator and top-tier eCommerce and fintech founders.

Tech Stack:

  • Back-end: Python, Django, GraphQL (graphene), pandas, numpy, pytest

  • Front-end: JavaScript, TypeScript, React, NextJs, Apollo, Jest, Enzyme

  • Infrastructure: AWS, Airflow, Airbyte, Terraform, Docker

Hard problems we're solving

  • Machine Learning: we help Brands plan for the future using modern predictive techniques. Some modeling projects include item bundling, inventory forecasting, and sales projections.

  • Integrations at Scale: we ingest many data sources (Shopify, Facebook Marketing, Google Ads, etc.) for each one of our merchants. Managing these pipelines, ensuring consistency and availability, and maintaining ML-ready data are mission-critical to the business.

  • Optimizing data platform: many of our core services rely on computationally intensive calculations. Building views, transforming tables, and powering offline calculations provide huge improvements across our entire product.

About the Role

You will work closely with the technical co-founder and infrastructure team to lead data engineering efforts.

Responsibilities

  • Maintaining and owning core ELT pipelines.

  • Creating and managing DBT models for core transformations.

  • Leading infrastructure and data pipeline architecture efforts for ML team.

  • Extending data services to ingest new sources

About You

  • 4+ years of production data engineering experience.

  • Database architecture experience.

  • Interest in the eCommerce and/or consumer space.

  • Desire to work in a startup and the hustle to move mountains. As our first hire, you will be instrumental in creating culture and owning foundational components of our system.

Bonus:

  • Experience with ML Ops.

  • Terraform proficiency.

How to Apply

Does this role sound like a good fit? Email manav@tydo.com

  • Include the role's title in your subject line.

  • Feel free to include your Github profile and links to any other relevant projects or portfolio.

This job is no longer open
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