Data Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design and develop scalable ETL processes.

• Take ownership of the technical architecture, design, and execution of the data platform.

• Collaborate with stakeholders and engineering leaders to shape the data platform roadmap.

• Offer technical guidance and best practices to the leadership team.

• Support and construct backend components that ensure stable and efficient data operations.

⛳️ Requirements

• Minimum of 5 years of experience as a Data Engineer (analysis roles are not considered).

• At least 4 years of experience in complex SQL transformations and optimization.

• Practical experience with DBT and Airflow.

• Proficient in Python scripting.

• Hands-on experience with AWS.

• Knowledge of Modern Data Warehouse concepts and Big Data modeling.

• Familiarity with DuckDB, pandas, or Jupyter Notebook is a bonus.

• Experience with Spark (Batch/Streaming), Spark SQL, or PySpark.

• Professional experience using Python with Django.

• Experience with Celery for handling asynchronous tasks.

• Proficient in using Redis for caching purposes.

• Familiarity with RabbitMQ for message queues and event-driven workflows.

• Experience with PostgreSQL as the primary database.

• Knowledge of MongoDB for metadata and indexing purposes.

• Experience implementing Elasticsearch as the primary search engine.

• Strong English communication skills – at least B2 level.

• Submit your application and CV in English (this is mandatory).

🏝️ Benefits

• Opportunity for remote work.

• Flexible working hours.

• Collaboration with international clients.

• Compensation in USD.

• Paid holidays and vacation time.

• Paid family and sick leave.

• English language classes.

• Educational and wellness bonuses.

• Structured career development plan with regular salary reviews.

• Focus on personal growth and mentorship.