Data Engineer

Job Category: Engineer
Job Type: Full Time
Job Location: Remote
Job Experience: 5+ yrs

Join a venture-backed Series A start-up in hyper-growth mode, disrupting the massive 4.8T global shipping and cross-border e-commerce space. Our mission is to make every brand a global brand by making international shipping and returns easy, affordable, and friction-free. We power the world’s high-growth DTC brands and 3PLs worldwide. Work with a stellar team that raises the bar on innovation and is committed to our customer’s and partners’ success, fast-paced, inclusive, and collaborative team environment with plenty of opportunities to learn and grow.

We are looking for a Data Engineer that can work with a variety of tools to accomplish tasks that span analytics to machine learning. The candidate will be someone that can work well with a team but also is a self starter on individualized tasks. An ideal person for this role can navigate issues independently while still communicating progress to the team. This role will be working on a team with other Data Engineers and Data Scientists.

Responsibilities:

  • Build and manage data, dashboards and monitoriting of application and system logs using ELK stack
  • Manage the performance and reliability of data in our Redshift Data Warehouse
  • Manage data models and schemas across all our Data
  • Manage ELT pipelines in AWS Glue and DBT.
  • Working closely with cross teams to ensure consistency, security and performance of data;
  • Contribute to the design of information and operational support systems;

Requirements:

  • Expert in ELK stack
  • Expert in Redshift
  • Expert in ETL patterns
  • Experience in Python and Node.js
  • Experience in AWS data tools (Glue, Athena, DynamoDB, RDS, Redshift, Lambda)
  • Knowledge of pipeline technologies such as sagemaker or kubeflow
  • Knowledge of reporting tools such as Tableau and Kibana
  • Knowledge of Spark

Nice to Have:

  •  Experience with machine learning projects

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