Python & Data Engineering Talent Database

akurey • Costa Rica
Remote
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AI Summary

Join our network of professionals for remote, high-impact project opportunities. We prioritize flexibility, well-being, and career growth. Strong experience with Python, databases, and cloud platforms required.

Key Highlights
Fully remote work
Flexible schedules
Supportive culture
Challenging international projects
Continuous learning
Technical Skills Required
Python Data Engineering Databases SQL AWS Azure GCP Snowflake Databricks GitHub Actions Jenkins GitLab CI
Benefits & Perks
Fully remote work
Flexible schedules
Supportive culture
Challenging international projects
Continuous learning
Nice to Have
AI and Data Science concepts

Job Description


What You Will Be Doing

Join our Python & Data Engineering Talent Database Our Talent Database is a network of professionals we connect with top U.S. clients. When we have an open role that matches your profile, we’ll reach out to offer remote, high-impact project opportunities aligned with your skills and career goals. About AKUREY We are Passionate Technologists Building Digital Solutions. A technological company leader in building digital experiences through software applications, devices, innovation, digital media, and high tech. Our mission is to impact the customer's Chain of Value through high-tech solutions. We do Web and Mobile apps. Augmented staffing and product development. Cloud computing, Quality Assurance, and the Internet of things. What truly sets us apart is how we work. We prioritize flexibility, well-being, and career growth. At AKUREY, you’ll benefit from: -Fully remote work -Flexible schedules -A supportive, people-first culture -Challenging international projects -Continuous learning

Requirements

  • Candidates must be based in LATAM - English level C1. - 3+ years of professional experience. - Strong experience with Python, particularly in data engineering contexts. - Strong experience with databases and SQL, including querying, optimization, and handling large datasets. - Familiarity with at least one major cloud platform: AWS, Azure, or GCP. - Proven experience in building and maintaining data pipelines and ETL processes. - Understanding of CI/CD practices and experience with tools like GitHub Actions, Jenkins, or GitLab CI. - Experience with modern data platforms such as Snowflake or Databricks is highly preferred. - Knowledge of AI and Data Science concepts is a plus. - Familiarity with Agile development practices, including Scrum or Kanban. - Clear and effective communication skills, both written and verbal. - Evidence of technical judgment.

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