Data Engineer Analyst (AWS)

Location: Remote, Montevideo, Uruguay

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.

What you will do

• Design, build, and maintain scalable data pipelines and ingestion frameworks for batch processing, streaming, and change data capture (CDC).
• Develop and optimize large-scale data processing workflows with Apache Spark and PySpark.
• Implement and manage AWS data lake architectures using Amazon S3 and Apache Iceberg for table management, schema evolution, and time travel.
• Use AWS Glue, Athena, and Lambda for ETL orchestration, querying, and event-driven processing.
• Manage data access controls with AWS IAM and monitor pipeline health, data quality, reliability, and freshness.
• Collaborate with data analysts, data scientists, and platform engineers, and document data flows, architecture decisions, and engineering standards.

Requirements

• 2+ years of experience in Data Engineering or related roles, including hands-on work building and maintaining cloud-based data pipelines and AWS data lake architectures.
• Advanced hands-on experience with AWS services, including AWS Glue, Amazon S3, Amazon Athena, and AWS IAM.
• Experience with Apache Spark and PySpark for data processing.
• Experience with data lake architectures and data ingestion patterns, including batch processing, streaming, and CDC.
• Experience with SQL for data querying, validation, and exploratory analysis.
• Solid understanding of data modeling and large-scale data processing.
• Ability to collaborate in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders.
• Advanced English proficiency required for effective communication with global teams.

Nice to have

• Experience with infrastructure-as-code or pipeline orchestration tools such as Airflow, Step Functions, or dbt.
• Familiarity with AI-assisted development workflows and engineering productivity tools.
• Knowledge of Apache Iceberg.

Culture & Benefits

• Flexible working options and remote work support.
• Equipment provided, including a MacBook and accessories.
• Learning opportunities including AWS certifications, study plans, courses, certifications, English lessons, and Tech Tuesdays.
• Mentoring and development opportunities.
• Office-based meals, snacks, beverages, sports, games, social events, and anniversary and birthday gifts are available at headquarters.

Hiring process

• Submit a resume or LinkedIn profile for consideration.