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Semi Senior / Senior Data Engineer (AWS, Python & SQL)

2 months, 1 week ago
Colombia
Contract
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Docker Kafka Kubernetes Python R Ruby Snowflake SQL
Apply Now
Devsu

Devsu

Master the Art of Digital Innovation with Devsu Learn to create digital solutions that drive change and growth. Devsu provides the tools and resources you need to master the art of digital innovation. Devsu is a technology agency that provides software...

Internet Software & Services
51-250
Founded 2010
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Description

  • Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
  • Improve and maintain data infrastructure and tooling, including Redshift, Snowflake, Airflow, and Fivetran.
  • Architect data processing systems for complex data flows and large-scale datasets.
  • Develop reliable, efficient, and cost-effective data solutions in an AWS environment.
  • Ensure data quality through automation and best engineering practices.
  • Optimize platform performance, resiliency, scalability, and operational costs.
  • Collaborate with software engineers, analysts, and business stakeholders.
  • Mentor engineers and analysts on data engineering best practices.
  • Participate in architecture discussions and technical decision-making.

Requirements

  • 4+ years of experience as a Data Engineer working with modern data technologies.
  • Strong proficiency in Python and SQL.
  • Experience processing large-scale datasets.
  • Hands-on experience with Apache Spark and Apache Airflow.
  • Experience designing and architecting data processing systems in AWS.
  • Experience with Redshift and/or Snowflake.
  • Knowledge of Fivetran or similar data ingestion tools.
  • Strong understanding of data quality, automation, and data engineering best practices.
  • Excellent communication and interpersonal skills.
  • Experience with streaming technologies such as Kafka or AWS Kinesis Firehose (nice to have).
  • Knowledge of Docker and/or Kubernetes (nice to have).
  • Familiarity with Ruby or R (nice to have).
  • Experience building or migrating a data warehouse (nice to have).
  • Experience leading projects or mentoring technical teams (nice to have).

Benefits

  • Stable, long-term contract with opportunities for career growth.
  • Private health insurance.
  • Remote-friendly culture that supports work-life balance.
  • Flexible schedule and flexible PTO policy, plus paid holiday days.
  • Continuous training, mentorship, and learning programs.
  • Free access to AI training resources and AI tools.
  • Challenging, world-class software projects for US and LatAm clients.
  • Collaborative, diverse environment with talented engineers in Latin America and the US.

Interested in this position?

Apply directly on the company website

Apply Now

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