AWS Big Data Architect: Scalable Data Platforms & AI Pipelines

SoftServe; México; Presencial; MXN 600.000 - 800.000; Jornada completa

Descripción de la vacante

SoftServe is seeking a data engineer to design and implement scalable data platforms within AWS environments. You will collaborate with both technical and business stakeholders, supporting modern data solutions for AI and data-intensive workloads.

The ideal candidate will have hands-on experience with AWS, Python, SQL, and big data frameworks. Responsibilities include designing data solutions, managing real-time processing, and contributing to architecture discussions for innovative projects.

Formación

• Proven experience designing scalable data platforms and data pipeline architectures.
• Hands-on experience with batch and streaming data processing solutions.
• Strong expertise in AWS cloud services for data engineering and analytics workloads.
• Experience with streaming technologies such as Apache Kafka, Amazon MSK, or Kinesis.
• Upper-intermediate or higher level of English.

Responsabilidades

• Design and support implementation of scalable data platforms and data processing solutions using AWS services.
• Collaborate with stakeholders to gather requirements and translate them into technical solutions.
• Support implementation of real-time data processing solutions using Apache Kafka, Amazon MSK, or Kinesis.
• Participate in architecture discussions and contribute to scaling data platforms.

Conocimientos

AWS cloud services

Python

SQL

Apache Kafka

Apache Airflow

Big Data technologies

Data processing

Descripción del empleo

SoftServe is seeking a data engineer to design and implement scalable data platforms within AWS environments. You will collaborate with both technical and business stakeholders, supporting modern data solutions for AI and data-intensive workloads.

The ideal candidate will have hands-on experience with AWS, Python, SQL, and big data frameworks. Responsibilities include designing data solutions, managing real-time processing, and contributing to architecture discussions for innovative projects.