
Semi-Senior Data Engineer (Remote)
1w1 week agoGreenCode
Buenos Aires, AR · Contract · $60,000 – $90,000
About this role
Hi there! If you’re a Data Engineer looking to make a high-impact contribution in a fast-paced, ambitious software house, we’ve got the perfect opportunity. At Green Code Software, we’re crafting solutions that transform industries, including a cutting-edge project for one of the largest property management insurance companies in the United States.
This project creates desktop and mobile applications that revolutionize how insurance is selected and purchased. As a Data Engineer, you’ll be at the heart of our data-driven solutions, collaborating with a talented team to deliver high-quality results. You’ll tackle challenges like designing tables and views using dimensional modeling to map business processes.
Expect to architect database systems balancing storage and computation for low-cost, high-performance. Interact directly with business stakeholders to build relationships and dive deep into the business domain. Work in an agile, flexible environment with a supportive, passionate team focused on world-class solutions.
Grow your career with opportunities to learn, advance, and mentor others in a dynamic setting. Enjoy perks like English classes, flexible hours, and 100% remote work from anywhere in Argentina. Join us to tackle high-impact challenges in a rewarding experience.
Requirements
- 5+ years of experience as a Data Engineer
- 1+ year of experience in a mentoring role (Team Leader, Tech Lead, or similar)
- Expertise in Snowflake, Airflow, and AWS
- Strong knowledge of Python
- Proficiency in Spark, SQL, and big data platforms
- Experience with Pandas/NumPy for data manipulation and feature engineering
- Familiarity with AI/ML platforms for model training and deployment
- English Level: B1-B2
Responsibilities
- Support the talented Data Engineering team to deliver high-quality solutions
- Apply dimensional modeling to design tables and views that map business processes into an enterprise data model
- Balance storage and computation to achieve low-cost, high-performance database architecture
- Interact directly with business stakeholders, build strong relationships, and dive deep into the business domain
- Design and implement data pipelines using Airflow on Snowflake
- Process and optimize large datasets with Spark and SQL
- Leverage AWS services to build scalable data infrastructure
Benefits
- English classes to help level up your skills
- Flexible working hours to fit your lifestyle
- 100% Remote work from anywhere in Argentina
- Free Birthday Day
- Access to Udemy to learn new skills
- Agile and flexible environment valuing innovation
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