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Data Engineer

Mercari, Palo Alto, CA

BUY & SELL THINGS YOU LOVE


About Us:

We are The Selling App. The fast and easy way to sell or buy almost anything, from fashion to toys, sporting goods to electronics, jewelry to shoes. Launched in 2013, Mercari quickly became the #1 shopping app in Japan. Now we’re on a global mission to build a future where people everywhere feel empowered to sell the things they don’t use, a future where all useful things are used. And with a fast-growing user base in the U.S. of over 45 million downloads, we are on our way to doing just that.

The ideal candidate is eager to take responsibilities on data products and machine learning platform spontaneously and has a passion to make our systems reliable and sustainable with the modern technologies. The candidate will take responsibility for not only data engineering, but also machine learning platform. We expect the candidate is able to design and implement data pipelines at scale and is deeply familiar with container technologies and related topics to offer intelligent system as microservices.

What You'll Be Doing:

  • Design, build and operate ETL pipeline at scale.
  • Automation of processes related to data products and machine learning products.
  • Support stakeholders with designing data structure for data products.
  • Development and operation of API/tools related to data products and machine learning products.

What You'll Need:

  • Industry experience building and productionizing data pipelines.
  • Solid understanding / experience in the machine learning space.
  • Industry experience building and productionizing system to serve machine learning.
  • Ability and desire to take full ownership of projects, driving them forward to completion.
  • Experience with Google Cloud Platform or related cloud services.

Nice-to-haves:

  • Experience with Apache Spark, Apache Beam or related distributed processing frameworks.
  • Experience with Apache Airflow or related workflow scheduling products.
  • Experience with developing microservices with docker and kubernetes to serve machine learning models.

Technologies We Use:

  • ETL: Apache Airflow
  • Container: Docker/Kubernetes
  • API: gRPC/Tensorflow Serving/Flask(REST)
  • Database: Google Datastore/MySQL/Google Spanner
  • Distributed Processing: Apache Beam/Apache Spark, Hadoop
  • Cloud: Google Cloud(BigQuery/ML Engine/Google Dataflow/Google Dataproc, etc.)

Why Mercari?

Mercari nurtures an all for one environment where teamwork and innovative thinking is the priority.

Perks:

  • Competitive ‌medical, dental, and vision insurance options
  • 401k match
  • Life & disability insurance
  • Employee Assistant Program 
  • New parent paid leave
  • Rocket Lawyer legal services
  • Fond perks and rewards
  • Commuter reimbursement
  • Time when you need it - unlimited vacation days
  • Catered lunches everyday
  • Team outings and events

About Mercari

Who We Are We believe the world needs a place where people can exchange their loved goods. That’s why we built Mercari—to connect people who want to buy and sell things of emotional value through their mobile phones. Mercari has grown to become a leading community-powered marketplace that brings together millions of people every day.

Mercari

Want to learn more about Mercari? Visit Mercari's website.