Descripción del puesto

Job Title:
Data Engineer

Location:
Argentina

Position main responsibilities:

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL 'big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to improve current Data systems.

Requisitos

Qualifications

• Strong proficiency in Python for data manipulation, ETL development, and automation.
• Experience with AWS cloud services (e.g., S3, Redshift, EMR, Lambda, Glue, RDS).
• Experience with n8n.
• Hands-on experience with Airflow for orchestration and workflow management.
• Solid understanding of SQL and experience with relational and NoSQL databases.
• Familiarity with big data technologies (Hadoop, Spark, Presto, Hive) is highly desirable.
• Experience in designing and maintaining data pipelines and architectures for scalability and reliability.
• Knowledge of data modeling, data warehousing concepts, and best practices.
• Strong grasp of ETL/ELT principles and data transformation workflows.
• Experience with CI/CD pipelines, version control (Git), and containerization tools (Docker, Kubernetes) is a plus.

Beneficios

• English lessons.

• Stretching classes.

• Prepaid health coverage.

• Maternity benefits.