Data Engineer Analyst (AWS)

Location: Remote, Buenos Aires, Argentina

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 data processing workflows using Apache Spark and PySpark across large datasets.
• Implement and manage AWS data lake architectures using Amazon S3 and Apache Iceberg for schema evolution and time travel.
• Use AWS Glue, Athena, and Lambda for ETL orchestration, serverless querying, and event-driven processing.
• Manage data access controls with AWS IAM and ensure compliant, least-privilege access.
• Collaborate with analysts, data scientists, and platform engineers; monitor pipelines, resolve data quality issues, and document data flows and architecture decisions.

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.
• Knowledge of data lake architectures and Apache Iceberg.
• Experience with data ingestion patterns, including batch processing, streaming, and CDC.
• Experience with SQL for querying, validation, and exploratory analysis, plus a 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 is required for effective communication with global teams.
• Familiarity with AI-assisted development workflows and engineering productivity tools.

Nice to have

• Experience with infrastructure-as-code or pipeline orchestration tools such as Airflow, Step Functions, or dbt.

Culture & Benefits

• Remote and flexible working options.
• Access to AWS, Databricks, and Snowflake certification opportunities, AI learning paths, study plans, courses, and Udemy Business.
• English lessons and professional development support.
• Career development plans, mentorship programs, and opportunities to attend industry conferences and meet clients.
• Company-provided equipment and milestone rewards; benefits may vary by location in LATAM.