Technical Lead Big Data Engineer (AWS)

Teletrabajo; Chile; A distancia; CLP 117.302.000 - 166.178.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

SoftServe University

Medical insurance

Food vouchers

Extra days off

Dare to Care program

Anniversary Program

Descripción de la vacante

SoftServe, una empresa global de servicios digitales, busca ampliar su equipo de Data & Analytics para apoyar una plataforma de datos basada en AWS. El rol involucra ingesta de datos, procesamiento y mejoras de fiabilidad.

Se trabajará con equipos distribuidos y datos del sector sanitario en un entorno regulado, con viaje de negocios a Estados Unidos en Q1 2027. Se requieren 5+ años en Big Data/Data Engineering, Python, PySpark, Spark y experiencia con servicios AWS como Glue, S3 y Lambda.

Formación

• 5+ years de experiencia en Big Data o Data Engineering.
• Dominio de Python, PySpark y Apache Spark para procesamiento a gran escala.
• Experiencia con servicios de datos de AWS (Glue, S3, Athena, Aurora PostgreSQL, Lambda).
• Conocimiento de Airflow para orquestación de pipelines de datos.
• SQL, ingesta de datos, ETL y prácticas de calidad de datos.

Responsabilidades

• Soportar, mantener y mejorar una plataforma de datos basada en AWS.
• Desarrollar y optimizar flujos de procesamiento con Python, PySpark, Spark y AWS Glue.
• Monitorear y depurar pipelines para asegurar fiabilidad y calidad.
• Trabajar con servicios AWS: S3, Aurora PostgreSQL, Athena, Lambda, SQS, SNS, EventBridge.
• Mantener y mejorar la orquestación con Apache Airflow.
• Soportar procesos de infraestructura con Docker, Terraform y EKS.

Conocimientos

Python

PySpark

Apache Spark

SQL

Airflow

Docker

Terraform

CI/CD

GitHub Actions

English communication

Herramientas

Docker

Terraform

GitHub Actions

Descripción del empleo

Detalles consultados el 09-11-2026. La disponibilidad final se confirma al postular.

Modalidad Remoto

Desde dónde Chile y más

Mexico, Chile , Colombia

Sueldo publicado No publicado

Dedicación Tiempo completo

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Lo que dice el aviso

Texto del anunciante, sin resumir. Abajo está el aviso completo.

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Idioma original: English. Se conserva su redacción y las condiciones publicadas.

Aviso completo del anunciante

Idioma original: English. Se conserva su redacción y las condiciones publicadas.

Leer el texto completo del aviso

Sobre el cargo

• SoftServe is a global digital services and consulting company with over 30 years of experience and more than 11,000 professionals across 16 countries, helping businesses worldwide solve complex challenges through technology.
• Our Data & Analytics Center of Excellence (CoE) brings together data specialists to drive excellence in data, analytics, and business intelligence. We deliver solutions across Data Strategy & Governance, Data Platform Engineering, Data Migration, and Reporting & BI.
• In this role, you’ll support and enhance a modern AWS-based data platform, focusing on data ingestion, processing, and platform reliability. You’ll use Python, PySpark, and Apache Spark to maintain and optimize existing data pipelines while collaborating with a distributed engineering team. You’ll work with healthcare data in a regulated environment, and the role includes a three-month business trip to the United States in Q1 2027.

Qué harás

• Support, maintain, and enhance an existing AWS-based data platform and data ingestion pipelines
• Develop and optimize data processing workflows using Python, PySpark, Apache Spark, and AWS Glue
• Monitor and troubleshoot data pipelines, ensuring reliability, performance, and data quality
• Work with AWS services such as S3, Aurora PostgreSQL, Athena, Lambda, SQS, SNS, and EventBridge
• Maintain and improve workflow orchestration using Apache Airflow
• Support infrastructure and deployment processes using Docker, Terraform, and Amazon EKS
• Apply software engineering best practices, including automated testing, code quality checks, and CI/CD processes
• Utilize AI-assisted development tools such as Claude Code to support implementation, testing, and code reviews
• Collaborate with remote engineering teams to resolve technical issues, implement improvements, and ensure platform stability
• Support data security, governance, and compliance practices within a regulated healthcare environment

Qué pide la empresa

• 5+ years of experience in Big Data or Data Engineering, including supporting production data platforms
• Strong proficiency in Python, PySpark, and Apache Spark for large-scale data processing
• Hands‑on experience with AWS data services such as Glue, S3, Athena, Aurora PostgreSQL, and Lambda
• Experience with Apache Airflow for data pipeline orchestration and scheduling
• Strong knowledge of SQL, data ingestion, ETL processes, and data quality practices
• Experience with Docker, Terraform, and CI/CD pipelines using GitHub Actions or similar tools
• Familiarity with Python development and testing tools such as pytest, Pydantic, ruff, or mypy
• Understanding of healthcare data regulations such as HIPAA/HITRUST, multi‑tenant architectures, or data retention requirements is a plus
• Readiness to travel to the United States for a three‑month business trip in Q1 2027
• Upper‑intermediate or higher level of English, with strong communication and problem‑solving skills

Condiciones y beneficios publicados

• SoftServe University: Access continuous learning opportunities, certification support, and leadership development programs to grow your skills and advance your career
• Medical insurance: Health coverage for you and your family
• Food vouchers: Additional support for your everyday expenses
• Extra days off: Enjoy additional time off to rest, recharge, and maintain a healthy work‑life balance
• Dare to Care: Our holistic well‑being program, designed to support your overall wellness
• Anniversary Program: Celebrating your milestones and recognizing your journey with SoftServe

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