Cloud Data Engineer - AWS Pipelines & AI-Ready Platforms

SoftServe; Chile; Presencial; CLP 25.000.000 - 45.000.000; Jornada completa

Descripción de la vacante

SoftServe is seeking a Data Engineer to contribute to building scalable AWS-based data solutions. You will design and implement data pipelines in Python and SQL, enabling batch and streaming workloads across multiple domains in a fast-paced environment.

With 5+ years in data engineering or related fields, you will collaborate with cross-functional teams and integrate AI-ready data processing components, while staying current with emerging technologies and best practices.

Formación

• 5+ years of experience in Data Engineering, Big Data, or related fields.
• Strong proficiency in Python and SQL.
• Hands-on experience developing data solutions on AWS cloud platform.
• Experience designing and building scalable data pipelines and data processing solutions.
• Knowledge of batch and streaming data processing concepts.

Responsabilidades

• Design, develop, and maintain scalable data processing pipelines and cloud-based data solutions on AWS
• Build and optimize data workflows using Python and SQL
• Develop solutions supporting large-scale data ingestion, transformation, and analytics workloads
• Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions
• Support batch and streaming data processing initiatives across different data domains
• Participate in architecture discussions and contribute to the continuous improvement of data platforms and engineering practices
• Explore and evaluate emerging technologies, frameworks, and approaches to improve solution quality and efficiency
• Contribute to the full project lifecycle, from discovery and prototyping to production implementation
• Collaborate within distributed teams and actively share knowledge and best practices

Conocimientos

Python

SQL

AWS

Data Engineering

Big Data

English (B2+)

Descripción del empleo

SoftServe is seeking a Data Engineer to contribute to building scalable AWS-based data solutions. You will design and implement data pipelines in Python and SQL, enabling batch and streaming workloads across multiple domains in a fast-paced environment.

With 5+ years in data engineering or related fields, you will collaborate with cross-functional teams and integrate AI-ready data processing components, while staying current with emerging technologies and best practices.