Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана чётко, а стек для инженерии данных на AWS востребован, но обязательная трёхмесячная поездка в США и работа в аутсорсинге могут повлиять на гибкость и стабильность проекта.
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Длительная командировкаРабота в аутсорсингеСовременный стекПонятные задачиРегулируемые данные
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Big Data Engineer (AWS) (Cloud Data Platform/Healthcare): Supporting and enhancing an AWS-based data platform and production data pipelines with an accent on large-scale processing, reliability, and regulated healthcare data. Focus on optimizing PySpark and Apache Spark workflows, orchestrating ingestion with Airflow, and maintaining secure infrastructure with Docker, Terraform, and Amazon EKS.
Location: Remote, Chile; includes a three-month business trip to the United States in Q1 2027
Company
hirify.global provides engineering and technology services, including cloud-based data platform development and support.
What you will do
Support, maintain, and enhance an AWS-based data platform and data ingestion pipelines.
Develop and optimize large-scale data processing workflows with Python, PySpark, Apache Spark, and AWS Glue.
Monitor and troubleshoot pipelines to ensure reliability, performance, and data quality.
Work with AWS services including S3, Aurora PostgreSQL, Athena, Lambda, SQS, SNS, and EventBridge.
Maintain workflow orchestration with Apache Airflow and support infrastructure and deployments with Docker, Terraform, and Amazon EKS.
Apply automated testing, code quality checks, CI/CD, AI-assisted development tools, and data security, governance, and compliance practices.
Requirements
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 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 pytest, Pydantic, ruff, or mypy.
Readiness to travel to the United States for a three-month business trip in Q1 2027.
Upper-intermediate or higher English level, with strong communication and problem-solving skills.
Nice to have
Understanding of healthcare data regulations such as HIPAA/HITRUST, multi-tenant architectures, or data retention requirements.
Culture & Benefits
Remote work from Chile.
Collaboration with a distributed engineering team.
Work with healthcare data in a regulated environment.
Three-month business trip to the United States in Q1 2027.
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