Data Engineer at Mercari

M
Mercari

Data Engineer

202k - 240k USD

Remote

Full Time

#Engineering

#Confluence

#Jira

#Git

#Pipelines

#Agile Methodologies

#Java

#Python

#Data Modeling

#ETL

#Docker

#Kubernetes

#API

#MySQL

#Postgres

#Oracle

#SQLServer

#Google

#Apache Beam

#Apache Spark

#TensorFlow

#Keras

#Google Cloud

Mercari is looking for a Data Engineer

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POSITION:        Data Engineer

JOB DUTIES:    Design, build, and operate ETL pipelines at scale. Automate processes related to data products and machine learning products. Design data structure for data products. Build knowledge graphs, flow charts, and system diagrams for problem analysis. Develop and operate API/tools related to data products and machine learning products. Provide technical solutions using Big Data technologies and create technical design documents. Design and develop Data Platform using Python, Spark, and BigQuery. Build Devops platform for Continuous Integration/Continuous deployment stack for ETL applications teams. Profile, debug, and optimize apps. Remote work permitted within the U.S. only.

HOURS:            40 hours per week, Monday through Friday

SALARY:          Zone 1: $201,571.50 - $240,000.00

                        Zone 2: $201,571.50 - $216,000.00

                        Zone 3: $201,571.50

LOCATION:      Mercari, Inc., 3000 El Camino Real, Suite 5-150, Palo Alto, CA 94306

REQUIREMENTS

Main Requirement: Bachelor of Science degree in Computer Science or closely related field of study and five (5) years of experience as a Data Engineer, Data Specialist, or related occupation where required experience gained.

 Special Skills: Also requires five (5) years of experience in the following:

  • Confluence;
  • JIRA;
  • GIT;
  • CI/CD pipelines;
  • Agile methodologies;
  • Java;
  • Python;
  • Data Modeling or Data Warehouse;
  • ETL: Apache Airflow;
  • Container: Docker or Kubernetes;
  • API: gRPC, Tensorflow Serving, or Flask (REST);
  • Database: MySQL, Postgres, Oracle, SqlServer, or Google Spanner;
  • Distributed Processing: Apache Beam or Apache Spark;
  • Machine Learning: Tensorflow, Keras, or Scikit-Learn, etc.; and
  • Cloud: Google Cloud (BigQuery, Google Dataflow, or Google Dataproc, etc.).

CONTACT: Email resume to us_[email protected]. Please insert job code 25002, job title, and location on resume.

*Zone 1 includes locales such as the San Francisco Bay Area, Seattle, and New York City

**Zone 2 includes locales such as Chicago, Boston, and Los Angeles

***Zone 3 includes locales such as Miami, St. Louis, and Houston

Total Rewards:

  • Flexibility: Work remote from anywhere in the US and receive flexible time off
  • Wellbeing: Top-notch insurance plans, best-in-class new parent offerings and access to mind and body wellness apps
  • Growth: As we grow, your career opportunities grow, we provide access to new tools, technologies and learning opportunities
  • Comprehensive and total rewards: We provide a strong financial foundation and rewards that go beyond the paycheck
  • Teamwork: We are each other's biggest fans- we celebrate from virtual coffee breaks to recognition programs

#LI-DNI

M

Mercari

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