TITLE: Data Engineer

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.

SCHEDULE: 40 hours per week, Monday through Friday

SALARY: Zone 1: $210,662.00 - $218,500.00

Zone 2: $210,662.00

Zone 3: $210,662.00

LOCATION: Mercari, Inc., 3101 Park Blvd, Palo Alto, CA 94306

MAIN REQUIREMENTS: 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 [email protected]. Please reference job title and location.

*Zone 1 includes locales such as the San Francisco Bay Area and New York City
**Zone 2 includes locales such as Austin, Boston, Los Angeles and Seattle
***Zone 3 includes locales such as Denver, St. Louis, and Houston

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