Data Engineer

TL;DR

Data Engineer: Developing and optimizing complex data pipelines and ETL processes with an accent on data quality, performance, and scalability. Focus on building robust data architectures, ensuring system reliability, and collaborating with cross-functional teams to deliver impactful data solutions.

Location: Medellin, Colombia (Hybrid)

Company

hirify.global is a global software design and development company with 16 years of experience, building products for Fortune 500 companies and startups across various industries.

What you will do

• Drive the development of complex data pipelines and ETL processes to ensure high data quality.
• Collaborate with product, design, and data science teams to translate requirements into detailed data architectures.
• Optimize performance and responsiveness of data solutions using best practices.
• Provide technical guidance, coaching, and code reviews to team members.
• Maintain comprehensive testing strategies to ensure pipeline stability.
• Document code, architecture, and development processes thoroughly.

Requirements

• 6+ years of professional experience in Data Engineering.
• Proficiency in SQL and experience with Python, Scala, or Java.
• Experience with Docker and containerization technologies.
• Understanding of data warehousing, OLAP, and OLTP environments.
• Knowledge of big data technologies like Hadoop, Spark, or Kafka.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD methodologies.

Culture & Benefits

• Collaborative and pleasant international team atmosphere.
• Focus on continuous learning and professional development.
• Exposure to a wide variety of industries including fintech, healthcare, and retail.
• Opportunity to work on complex digital challenges for global industry leaders.