Data Engineer (Semi-Senior)

greencode software Argentina
Remote
Apply
AI Summary

High-impact Data Engineer role contributing to a fast-paced software house. Design and optimize data solutions, collaborate with the Data Engineering team, and engage with business stakeholders. 5+ years of experience as a Data Engineer required.

Key Highlights
Collaborate with the Data Engineering team
Design and optimize data solutions
Engage with business stakeholders
Key Responsibilities
Collaborate: Support our talented Data Engineering team to deliver high-quality solutions
Design and Optimize: Apply dimensional modeling to design tables and views that map business processes into an enterprise data model
Architect for Performance: Balance storage and computation to achieve low-cost, high-performance database architecture
Engage with Stakeholders: Interact directly with business stakeholders, build strong relationships, and dive deep into the business domain to create impactful solutions
Technical Skills Required
Snowflake Airflow AWS Python Spark SQL Big data platforms
Benefits & Perks
Competitive Compensation
Flexible working hours
100% Remote work
English classes
Flexible working hours
Free Birthday Day
Access to Udemy
Great Work Environment
Nice to Have
Experience with Pandas/NumPy for data manipulation and feature engineering
Familiarity with AI/ML platforms for model training and deployment

Job Description


Job Description: Data Engineer (Semi-Senior)

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 for you!

At Green Code Software, we're not just building software—we're crafting solutions that transform industries.

We're working on a cutting-edge project for one of the largest property management insurance companies in the United States.

Our mission is to create desktop and mobile applications that revolutionize how insurance is selected and purchased.

Curious about us?

Check out our website: .

What Challenges Will You Tackle?

Collaborate: Support our talented Data Engineering team to deliver high-quality solutions.

Design and Optimize: Apply dimensional modeling to design tables and views that map business processes into an enterprise data model.

Architect for Performance: Balance storage and computation to achieve low-cost, high-performance database architecture.

Engage with Stakeholders: Interact directly with business stakeholders, build strong relationships, and dive deep into the business domain to create impactful solutions.

What Will Help You Succeed?

5+ years of experience as a Data Engineer.

1+ year of experience in a mentoring role (Team Leader, Tech Lead, or similar).

Must-have skills

Expertise in Snowflake, Airflow, and AWS.

Strong knowledge of Python.

Proficiency in Spark, SQL, and big data platforms.

Nice-to-have skills

Experience with Pandas/NumPy for data manipulation and feature engineering.

Familiarity with AI/ML platforms for model training and deployment.

English Level: B1–B2 (you'll be working with international teams).

Why Choose Green Code Software?

Agile and Flexible Environment: Work in a dynamic, fast-paced setting that values innovation and adaptability.

Competitive Compensation: We reward your skills and dedication with a highly competitive salary.

Career Growth: Plenty of opportunities to learn, grow, and take your career to the next level.

Supportive Team: Join a collaborative, talented group of people who are passionate about delivering world-class solutions.

Perks and Benefits

English classes to help you level up your skills.

Flexible working hours to fit your lifestyle.

100% Remote work – work from anywhere in Argentina.

Free Birthday Day – take the day off to celebrate.

Access to Udemy – learn new skills on us.

Great Work Environment – enjoy a dynamic, supportive, and fun workplace.

Ready to Join Us?

If you're excited about tackling high-impact challenges and growing your career in a supportive yet ambitious environment, we'd love to hear from you!

Apply Now

Fill out our application form and send your CV in English to ******.

#J-*****-Ljbffr

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