Senior Data Engineer

Oowlish TechnologyOowlish Technology·Remote·Work From Anywhere
Data & Analytics

WFA Digital Insight

Demand for skilled data engineers has surged in recent years, with remote work options becoming increasingly popular. Oowlish Technology, a Latin American software development company, is at the forefront of this trend. As a senior data engineer, you'll leverage your expertise in Python, Apache Airflow, and Snowflake to drive business growth. With the global data engineering market expected to continue expanding, this role offers a unique chance to make a significant impact.

Job Description

About the Role

Oowlish Technology is seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines and infrastructure. As a key member of the team, you will collaborate with leadership, DevOps, research, and customer support to ensure efficient and secure data flows.

Responsibilities

  • Build and maintain scalable data pipelines and infrastructure
  • Work closely with leadership, DevOps, research, and customer support teams
  • Design, implement, and maintain systems for ETL processes, data modeling, and analytics readiness

Requirements

  • 5+ years of experience in data engineering or similar roles
  • Advanced programming skills in Python
  • Solid hands-on experience with Apache Airflow (MWAA a plus)
  • Experience with Snowflake and strong SQL skills

Nice to Have

  • Previous experience in small company or startup environments
  • Comfort working as the sole data engineer and collaborating with multiple teams

How to Stand Out

  • Ensure your portfolio highlights your experience with Python, Apache Airflow, and Snowflake, and be prepared to discuss specific projects and challenges you've overcome.
  • Showcase your ability to work independently and collaboratively in a remote environment, and demonstrate your problem-solving skills.
  • Familiarize yourself with Oowlish Technology's products and services to demonstrate your interest in the company and role.
  • Be prepared to discuss your experience with data modeling, ETL processes, and analytics readiness, and provide examples of your work.

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