Data Engineer

Skills
Data EngineeringE-CommerceSQLData IngestionETL TestingFintechKubernetes
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong proficiency in Python and SQL.
  • Experience with modern data engineering technologies like Kubernetes, Docker, Terraform, dbt, and Airflow.
  • Proven ability to develop scalable products and applications.
  • Strong sense of ownership and initiative.
  • Ability to work collaboratively and take feedback effectively.

Nice to have

  • Fintech experience
  • E-commerce background
  • AI startup experience

Day to day

  • Collaborate with other teams to design and expand features in our data pipeline system.
  • Implement enhancements to improve data quality and monitoring.
  • Build and maintain robust data infrastructure and pipelines.
  • Continuously enhance system performance and data accuracy.
  • Explore new ideas and lead projects with freedom and ownership.